The molpigs Podcast
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Welcome to molpigs, the Molecular Programming Interest Group! molpigs is a group aimed at PhD students and early career researchers within the fields of Molecular Programming, DNA Computing, and other related specialties. We run most of our events in the form of podcasts, which you can find right here!
Available episodes
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4 days ago
Ashwin Gopinath: Merging top-down and bottom-up synthesis
On this episode, the molpigs team talks with Ashwin Gopinath about bridging size scales in nanomaterial size scales. We explore his journey from optical physics to learning DNA nanotechnology in the Rothemund lab and his current projects and vision for highly multiplexed molecular measurements. Ashwin's career path has been quite the adventure, starting in academia, working for Google and then starting and later selling his own company. Finally, we turn to ways that AI is going to change research and the impending death of the current grant-funding structure. His excitement for scientific progress, perspective on different work environments and creativity in research is always inspiring for scientists young and old.
The paper Ashwin mentions on developing new AI capabilities can be found here: https://arxiv.org/abs/2303.11366
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Ashwin received his PhD in Electrical Engineering from Boston University, working on devices for detecting and characterizing single biomolecules. Challeng…
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Dec 20, 2022
Katherine Dunn
Join the molpigs team for a discussion with Prof. Katherine Dunn from the University of Edinburgh about her work on using DNA nanotechnology for medical applications and her exciting new ideas regarding "electrosynbionics," using biological engineering to tackle hard problems in energy production and storage. She also discusses her experiences transitioning from terahertz spectroscopy to biophysics and the challenges in teaching and mentoring students to prepare them for a variety of career paths in today's interdisciplinary world.
Katherine completed her undergraduate degree in physics at the University of Oxford. She started a PhD there in Terahertz Spectroscopy before seeing the light and changing to DNA Origami. She has continued to study molecular programming within an engineering context, working on DNA nanomachines for bioelectronic computing at the University of York. She is now a Senior Lecturer at the University of Edinburgh, and has been named as one of the Top 50 Women in…
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Oct 30, 2022
Erika DeBenedictis
This week’s podcast is with Erika DeBenedictis, a new principal investigator who is founding her lab at the Crick Institute in London. Her lab will focus around the broad field of bioautomation, but before talking about any of that, we delve into her past. Erika is just another one in a long string of podcast guests who has had an unconventional entry into the field of molecular programming! She started her scientific career interested in space science, telling us that her interest was kindled as a child because of the accessibility of this field to anyone. This led her to work at NASA’s Jet Propulsion Laboratory. Afterwards she talks about her time as a PhD student in Kevin Esvelt’s lab working on massively parallelised directed evolution, harnessing the power of robotics in order to develop her technique known as PRANCE. She talks about the use of these techniques in expanding the genetic code, and the main hurdles in doing so.
We then move on to her post-doc at David Baker’…
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Jul 29, 2022
Grigory Tikhomirov
In this episode the molpigs team talks with Greg Tikhomirov about his experience starting a new molecular programming lab and his visions for “a new nanotechnology”. We learn about his journey from wanting to build large, beautiful molecules to his work at the interface between molecular design and material science.
Greg Tikhomirov is an assistant professor in Electrical Engineering and Computer Sciences, with a background in chemistry, bioengineering, medicine, and nanotechnology. He has a longstanding dream to engineer life-like artificial systems, motivated by the realization that incomprehensible natural complexity arises from comprehensible fundamental laws. Ti Lab at Berkeley is pursuing the design and fabrication of devices with atomic precision by combining the strengths of rational top-down engineering and bottom-up biomolecular assembly. A key goal is to adopt the powerful but still proof-of-concept self-assembly approaches of DNA nanotechnology to engineer new, useful d…
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Jun 4, 2022
Eva Bertosin: A DNA rotary mechanism with coordinated mobility control
Join the molpigs team for a conversation with Eva Bertosin about her work on building nanoscale rotors during her PhD with Hendrik Dietz. This is a "poster podcast," so we will occasionally be referencing figures in the associated poster which can be found at the link below. The DNA origami rotor was inspired by the rotational mechanism of ATP synthase, which Eva and her colleagues had to simplify and abstract to create a functional DNA structure which could demonstrate rotational diffusion. She explains how they used cryoEM to optimize design, and how new tools for analyzing cryo data made the ambitious data analysis involved in this process possible. And the promises of using molecular simulation to help inform design. We round out the conversation with discussion of how she got into DNA design, visions for the future, and advice to future students about tackling huge projects.
Eva is a postdoc in the Cees Dekker's research group at the Technical University of Delft. Her work is foc…
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Apr 29, 2022
Anne Condon
Join the molpigs team as they have a discussion with one of the theoretical giants of molecular programming: Anne Condon. Over the wide-ranging conversation, she shares her insights on NP-complete problems, solving RNA folding with good data, and how best to teach and mentor students in a manner that creates great researchers and facilitates diversity in the field.
Anne Condon is a professor of Computer Science at the University of British Columbia, of which she was formerly head of department, and also a fellow of the Royal Society of Canada. She is known for her extensive work in computational complexity theory and design of algorithms, in the context of bioinformatics, hardware verification, combinatorial auctions, and of course, DNA computing. As well as numerous awards for her work in Computer Science from bodies including the ACM, she has also received many awards for her leadership in advancing women in computing, and has previously held the NSERC/General Motors Canada Chair fo…
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Apr 7, 2022
Jurek Kozyra
On this episode Hannah, Boya, Erik and new co-host Dhaval sit down with Jurek Kozyra, founder of the molecular programming startup, Nanovery. Over the course of this wide-ranging interview, he tells us about how learning biology can help your dating life, his PhD work at the intersection of biotech and computer science and his early ventures in cherry picking and private investigation before diving into his story of building a successful startup with funders, employees, and lab space.
Jurek Kozyra is the founder and CEO of Nanovery. He obtained his BSc in Computer Science with Artificial Intelligence from the University of Nottingham, where he studied bio-inspired and unconventional computing. Afterwards, Jurek earned his PhD in DNA nanotechnology and DNA computing from Newcastle University working at ICOS (one of the leading computational synthetic biology research groups in the UK). He was also an entrepreneurial lead for a university biotech spin-out based on the DNA barcoding tech…
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Feb 18, 2022
Sam Schaffter
Join us for a chat with Sam Schaffter, a postdoc at NIST working on realizing complex transcription-based strand displacement in living systems. We start the conversation with the story of how he made the transition from the molecular biology of food to molecular programming. We then move on to the details of his research on transcriptional circuits including where the idea came from and the trials of taking molecular computing from the test tube to cell systems. He tells us about the differences and similarities between academic and government research and how everything is a “measurement” when you work for NIST. We round out the conversation with Sam’s dreams of the future of nucleic acid-based sensors for diagnostic and control purposes and the research he would like to see in the next 5, 10, 25 and 50 years to advance the field toward application.
Sam conducted his PhD research in the field of DNA nanotechnology and DNA computing, working in Rebecca Schulman’s group at Joh…
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Dec 12, 2021
Sifang Chen
Join us for a relaxed chat with Sifang Chen, a science policy post-doc, for a slightly different discussion. We speak about Sifang’s past, how she got into DNA nanotech and molecular programming, her research on biosensors and DNA programmable materials, and how she switched to this field from quantum and graphene based devices. We then moved on to talking about science in a broader scope, starting off with the big question of how Synthetic Biology and related fields will help in the fight against climate change, and the problems we face, both from a policy and science perspective. Moving into policy is certainly unconventional, and Sifang explains the transition, and the skills required to do so, before diving into the specifics of what her job entails, how she communicates with lawmakers, and the difficulties she faces in this line of work.
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Find more information at the episode page here:
https://podcast.molpi.gs/media/chen-s-f9bc60e3bc0abb74/
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Nov 7, 2021
Damien Woods
Today we’re talking with Damien Woods, a professor and molecular programmer at the Hamilton Institute, Maynooth University, Ireland. We first began by talking about how his early interests in dynamics and optical computers (the subject of his PhD thesis) led him to the field of molecular programming.
We then move on to talking about one of Damien’s well known papers, Diverse and robust molecular algorithms using reprogrammable DNA self-assembly. In this paper, Damien describes the implementation of 21 algorithms using a 6-bit boolean circuit built out of a DNA tile-set. Damien and his team built a set of DNA tiles which could implement any algorithm allowable by that 6-bit computer (the tiles are 6-bit universal). Damien describes how this allows anyone to wake up in the morning, design an algorithm, retrieve the appropriate tiles from the fridge, mix them and begin running the algorithm in a test tube on the very same day. This clearly has its advantages over other systems, which…
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Sep 5, 2021
Dave Doty
In our latest Meet The Molecular Programmer, our guest was David Doty. We dove right in to the way he splits his research time, which has been between software development, theory, and sometimes experiments! He talks about how his experience doing his first experiment made him realise the need for good software, as good software enables good experiments.
We then moved on to discussing what “nice” theory is. Doty explains how typically people seek to publish the most elegant, and often complicated theory in conferences and journals, but that this rarely translates to experimentation which can be done in the lab. When asked for an example of a time that he saw elegant theory married to beautiful experiment, he gave our own host’s (Anastasia) most recent paper on crisscross assembly!
Finally we moved on to more personal aspects of Doty’s academic life, talking about how he moved into the field, his experience switching topics twice during his PhD, and his rather unique marriage…
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Jul 31, 2021
William Poole
This week we spoke with William Poole, a graduate student at Caltech working on quite a few topics! His research spans synthetic/systems biology to molecular programming, software development to chemical reaction network (CRN) theory, machine learning to cell free systems. We certainly had a lot to talk about!
We started off by discussing BioCRNPyler, a library which Will has been working on that allows for the rapid development and compilation of complex CRNs. He describes how BioCRNPyler can help you rapidly design CRNs in a variety of cellular contexts. The CRNs can then be simulated using any simulator/solver. We also discuss other software projects he is involved with such as Bioscrape and Vivarium.
Next we move onto William’s research into chemical Boltzmann machines, what they are and how they are related to machine learning, while talking about how low molecular copy number systems might be able to perform more complex computation than high copy number systems.
We also tal…
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Jul 19, 2021
Anastasia, Boya, Georgeos, Hannah: Meet the Committee
Join us in this experimental episode as our conversation turns inwards! Instead of finding out about the life and interests of someone from the field, we share some of our own views and anecdotes. We discuss a little about who we are, graduate school, the definition of the field, and more.
Hannah, the founder of molpigs, gives a bit of an insight into what the motivation for starting molpigs was and what they hope this project will achieve. Boya, our newsletter editor, explains how learning more about psychology is helping her to be a more effective researcher. Anastasia, who shares podcast editing duties with Hannah, gives some perspectives on how fundamental DNA is to the field of molecular programming. Georgeos, who manages our social media and money, tells us why he'd much rather be a scientist today than the 19th century.
We also give an update on the status of our sister project, the Molecular Programming Society, which is currently writing the ‘Art of Molecular Programming…
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May 27, 2021
Lee Organick
Today we are joined by Lee Organick, a PhD student in the Molecular Information Systems Lab (MISL) at the University of Washington. Lee is a biologist turned computer scientist and engineer, quite a unique transition! She explains how she was “forced” to take a computer science class in her undergrad, which opened up a completely new field of interests. After this, she started incorporating more programming into her research, and as such slowly moved into more computational fields. This is how she eventually found herself at MISL, and has been programming molecules ever since. She talks about how the transition from biology to computer science was a difficult one, and how she suspects that she invested more time than the average student moving in the opposite direction.
We then move on to talk about her main research area, DNA storage. Because we focussed on the specifics of DNA storage in our previous episode with Yuan-Jyue Chen (another member of MISL), we spoke more about the f…
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May 16, 2021
Kent Kemmish
Join us this week for an extremely interesting conversation with Kent Kemmish, the founder and chief exorcist (yes, exorcist) officer of Molecular Reality, and the creator of the new, and world’s first “molecular” games console, the demonpore 64. This is our first podcast with a member of the molecular programming community who works in industry, and in the startup sector.
At its heart, Kent’s demonpore 64 is a device which utilises solid state nanopores in order to sense its environment at the molecular level. Kent and his team have reduced the cost to manufacture this traditionally lab based and expensive equipment by orders of magnitude.
Kent’s hope is that by making this technology cheap, accessible and gamified, gamers can engage in science and data collection on behalf of scientists. This ought to enable scientists to perform very very large experiments, which would otherwise be impossible. We discuss what a molecular games console actually is, what sort of functionality the demonpore 64 has and how it can bring together academics, game developers, gamers, and citizen scientists in order to solve the world’s biggest challenges.
Kent talks through future games which will be available for the demonpore 64, including Poop of the Gods, 2021: A SARS Odyssey, Genomic Ranger, and Molecules of Mars. These games allow people to explore the molecular mysteries of poop, viral detection, chromosome structure, and martian soil!
We then move on to talk about Kent’s life, from student, to academic, to entrepreneur. Kent talks fondly of his early days working on Drosophila genetics, and later at Halcyon Molecular a startup which was focussed around sequencing DNA with electron microscopy. He talks about how these experiences shaped his worldview around having a much greater impact by working on and caring about scientific tools rather than the science itself, and bringing these tools to the scientists with research questions.
To learn more about the demonpore 64, check out Kent’s WeFunder campaign https://wefunder.com/molecularreality, and also check out their website https://www.molecularreality.com/.
The nanopore cartridge shown at ~51:00 can be seen here: https://podcast.molpi.gs/media/kemmish-k-03808e4f7ec87ae1/nanopore-cartridge.jpg
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Find more information at the episode page here:
https://podcast.molpi.gs/media/kemmish-k-03808e4f7ec87ae1/
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Mar 27, 2021
Namita Sarraf
What do ant colonies have to do with molecular programming? In this podcast, we spoke with Namita Sarraf, a graduate student at Caltech in Lulu Qian’s group.
We discuss her research, which revolves around the production of multifunctional and modular DNA robots. Namita takes inspiration from ant colony dynamics to design robots, which alone may exhibit simple behaviour, but show emergent complexity when put together. By having these robots pattern the surface, ant pheromones can be emulated. One task which these “DNA ants” are being made to perform is maze-solving. Because traditional methods are not ideal for DNA robots, Namita is developing bespoke maze-solving algorithms. As she points out however, maze-solving by itself is not inherently useful, and for this reason these DNA robots are being built for modularity and composability. By combining maze-solving with cargo sorting Namita can generate more complex behaviours with real world applications.
We then move on to talk about how Namita moved into molecular programming from her original field of tissue engineering. We discuss graduate student life, impostor syndrome, and the generation of negative results and their use in publishing.
Namita is also one of the founders of the open collaborative textbook project “The Art of Molecular Programming”, a grassroots project aimed at collecting experts in the field to build a comprehensive textbook which will serve as a starting point for new and existing researchers. We discuss how the idea came about, inspired by the spirit of the Synthetic Biology community. The Art of Molecular Programming aims to be a project which collects all of the useful pieces of lore which exist scattered throughout the molecular programming literature and put them in one useful repository, taking away the pain that new graduate students endure in their first years while they struggle to build up a coherent picture of the field by reading countless ad-hoc papers.
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Find more information at the episode page here:
https://podcast.molpi.gs/media/sarraf-n-5f564ce4c08e6e5c/
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Mar 24, 2021
Kate Adamala
Kate Adamala is a biochemist building synthetic cells at the University of Minnesota College of Biological Sciences. Her research aims at understanding chemical principles of biology, using artificial cells to create new tools for bioengineering, drug development, and basic research. The interests of her lab span questions from the origin and earliest evolution of life, using synthetic biology to colonize space, to the future of biotechnology and medicine.
She received a MSc in chemistry from the University of Warsaw, Poland, studying synthetic organic chemistry. In grad school, she worked with professor Pier Luigi Luisi from University Roma Tre and Jack Szostak from Harvard University. She studied RNA biophysics, small peptide catalysis and liposome dynamics, in an effort to build a chemical system capable of Darwinian evolution. Kate’s postdoctoral work in Ed Boyden’s Synthetic Neurobiology group at MIT focused on developing novel methods for multiplex control and readout of mammalian cells. Her full first name spells Katarzyna; she goes by Kate for the benefit of friends speaking less consonant-enriched languages.
First we discuss Kate’s synthetic cells and whether or not they are living. These are phospholipid liposomes which encapsulate a full central dogma (transcription, translation). Synthetic cells are more complex than biochemical experiments, but at the moment, Kate does not consider her synthetic cells living. These cells are not self replicating, currently requiring a graduate-assisted replication. We then have an extended discussion about the ribosome, why it’s the biggest hurdle to achieving true self replication, and why it kind of sucks as a catalyst!
Next, we move on to how synthetic cells can be used to aid in the research of brain computer interfaces (BCI). Kate’s vision is that, because synthetic cells can be so robustly controlled, they represent a form of “programmable goo” which would interface much more robustly with our brains than traditional silicon. She envisions the role of synthetic cells as being used as a less injurious interface for BCIs, which currently cause significant scarring to the brain.
Finally, we talk about one of the most interesting topics covered on the molpigs podcast: space exploration! Kate discusses how synthetic cells, being so programmable, might be ideal devices for Martian terraforming. By engineering poly-extremophiles (extremophiles which are robust to many extreme conditions, organisms which do not exist on Earth) specific to the environment of Mars, it may be possible to design a metabolism capable to transforming Martian soil into something fertile. Additionally, synthetic cells might be used as on-board biochemical printers on long space missions. Their programmable metabolism may enable us to produce any biomolecule, such as medicines on demand.
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Find more information at the episode page here:
https://podcast.molpi.gs/media/adamala-k-c1a694437dacfe8e/
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Feb 28, 2021
Erik Poppleton
In the third episode of our ‘Lab Pigs’ series, which highlights the research and journeys of early career researchers in our field, we talked with Erik Poppleton, of the Biodesign Institute at Arizona State University. Erik researches the use of computational modeling in informing the design of molecular machines. As part of this, he also develops general-use analysis tools for oxDNA, and conversion tools to integrate the various design and simulation tools in the nucleic acid nanotechnology ecosystem. We talked about his research, his experience writing academic software, and the relationship between geology and molecular programming.
Core Simulation Tools
- Main oxDNA documentation: https://dna.physics.ox.ac.uk/index.php/Main_Page
- Current stable release (being retired soon): https://sourceforge.net/projects/oxdna/files/
- Bleeding edge release (has Python bindings!): https://github.com/lorenzo-rovigatti/oxDNA
- The model is also available as part of LAMMPS, documentation can be found here: https://lammps.sandia.gov/doc/Packages_details.html#pkg-user-cgdna
Useful tutorials
- A textbook chapter covering how to relax and simulate origamis: https://arxiv.org/pdf/2004.05052.pdf
- A textbook chapter covering the details of molecular simulation: https://www.public.asu.edu/~psulc/myimages/chapter.pdf
- Example input files: https://github.com/sulcgroup/oxdna_analysis_tools/tree/master/example_input_files
Useful tools
- TacoxDNA, converters from design software to oxDNA: http://tacoxdna.sissa.it/
- oxView, a visualizer and editor for oxDNA: https://sulcgroup.github.io/oxdna-viewer/
- oxView documentation: https://github.com/sulcgroup/oxdna-viewer
- oxdna_analysis_tools, a library of python scripts for basic simulation analysis: https://github.com/sulcgroup/oxdna_analysis_tools
- oxdna.org, a public webserver for running simulations: oxdna.org
- ox-serve, run interactive simulations in your web browser using a Google Colab GPU: https://colab.research.google.com/drive/1nFC9zy-wEwwl8vlJZAbQZZofavP4PXvL#scrollTo=C_8TB2t5gxDg
Of course, if you find these tools useful, please remember to cite us! The citations for each tool can be found in its documentation (oxdna.org paper coming soon!)
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Find more information at the episode page here:
https://podcast.molpi.gs/media/poppleton-e-d83cc0825a805d2e/
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Jan 26, 2021
Yuan-Jyue Chen: Random Access and Similarity Search in DNA Data Storage
In this episode we talked with Yuan-Jyue Chen, of Microsoft Research and the University of Washington, on some of his research into DNA Data Storage. Yuan focussed on two topics: random access of data, and the accompanying issues with stochasticity and errors, and an application of DNA storage for efficiently searching a large database of images by similarity.
Please note: The views expressed by Yuan in this podcast do not necessarily represent the views of Microsoft.
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Find more information at the episode page here:
https://podcast.molpi.gs/media/chen-yj-0e6debec064e5f0d/
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Jan 14, 2021
Josie Kishi
In the second episode of our 'Lab Pigs' series, which highlights the research and journeys of early career researchers in our field, we talked with Josie Kishi. Josie was instrumental in developing the Primer Exchange Reaction (PER) synthesis method and the related imaging method, SABER. As well as talking about these, we found out what excites her about molecular programming, how she got into the field, and where she things it's going to go.
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Find more information at the episode page here:
https://podcast.molpi.gs/media/kishi-j-db823daf0f863ab6/
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Jan 9, 2021
Tom Ouldridge: Molecular Programming and the Physics of Computation
Join us this week for a long and interesting conversation with Tom Ouldridge of Imperial College London on Maxwell’s demon, Szilard’s engine, what people get wrong about thermodynamics and information theory, how this all relates to biology, and how his lab is using these ideas to develop exciting new approaches to molecular programming.
Tom Ouldridge is a Royal Society University Research Fellow in the Bioengineering Department, where he leads the “Principles of Biomolecular Systems” group. His group probes the fundamental principles underlying complex biochemical systems through theoretical modelling, simulation and experiment. In particular, they focus on the interplay between the detailed biochemistry and the overall output of a process such as sensing, replication or self-assembly. They are inspired by natural systems, and aim to explore the possibilities of engineering artificial analogs.
We start by discussing Maxwell’s demon and Szilard’s engine—thought experiments from the 19th and early 20th centuries about the interplay of thermodynamics and information-processing. These have long captured the imagination of theoretical physicists. There is renewed interest in these thought experiments due our increasing ability to control systems at the molecular level. Many still disagree about the interpretation of these ideas, the implications for the second law of thermodynamics, and the consequences for thermodynamics of computation.
Szilard’s engine is a simpler version of Maxwell’s thought experiment, but which is mathematically tractable, considering only a single particle separated by a divider attached to a weight. If the particle and the weight are on the same side, then the particle can bounce against the divider and lift the weight, doing work. By resetting the divider, this step can be repeated to extract more work. Tom talks about how this seeming paradox may be resolved.
Tom discusses how his group has implemented a theoretical Szilard engine in biomolecules; by explicitly rendering each step of the engine as a biochemical process (using cell surface receptors). This helps demystify the whole process by rendering all “information theoretic” steps as concrete, real, processes. Doing so is helpful not only in resolving old thought experiments, but because the crucial idea—that the generation of correlation between non-interacting degrees of freedom is thermodynamically costly—is of fundamental significance to natural and synthetic molecular information-processing systems.
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Find more information at the episode page here:
https://podcast.molpi.gs/media/ouldridge-t-4007264116dd3097/
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Dec 4, 2020
Dominic Scalise
Join us for the first of our ‘Lab Pigs’ series, in which we talk with early career researchers on their research and journey within our field. In this episode, we chatted with Dominic Scalise. We talked a lot with Dominic about his work towards building a stored program chemical computer.
Dominic Scalise is a postdoctoral scholar in Lulu Qian’s lab at Caltech. He earned his PhD in chemical and biomolecular engineering from Johns Hopkins, advised by Rebecca Schulman, and his B.S. in mechanical engineering from UC Berkeley. His work focuses on developing a stored program chemical computer, and powering circuits using DNA buffer reactions.
Abstract: Molecular programming extends computer science beyond electronics into chemistry, and lets humans directly program physical matter. However, chemical circuits remain arduous to program, often requiring months or years to design, implement, and debug even a single program. In stark contrast, we program modern electronics with much less effort. A critical step in simplifying electronic programming was the invention of “software” in the 1940s. I will outline how similar concepts of “chemical software”, in which programs are stored in memory rather than hard coded into the connections of chemical reaction networks, could dramatically simplify the task of chemical programming. I will then discuss some reaction motifs in development which may be useful for implementing chemical software.
In this podcast, we found out that current chemical computers are just like the electronic computers from the 1940s, in that a computer program requires rewiring the hardware. They are small in size, error-prone, and take a long time to build. A stored program chemical computer may tackle these problems by being a robust universal circuit capable of running arbitrary algorithms, with the exact algorithm of a given computation depending on which instructions (software) are given.
Dominic then discussed his approach—building a chemical memory and then a chemical processor, possible challenges in doing so, and his vision for the future. We also talked a bit about his experiences in academia.
Dominic made a special announcement for molpigs members at the end about a grassroots project: a Molecular Programming textbook to drive the field through a collaborative approach. Stay tuned on our newsletter for more information!
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Find more information at the episode page here:
https://podcast.molpi.gs/media/scalise-d-5cbae63946bde0c4/
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Nov 21, 2020
Q&A with Brenda Rubenstein, on Storage and Computing with Small Molecules
Following on from Brenda's fantastic tutorial, we chatted with her to get answers to many questions, find out more about her lab's work, and get her thoughts on the future direction of this approach!
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Find more information at the episode page here:
https://podcast.molpi.gs/media/rubenstein-b-2b86de754345/
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Nov 18, 2020
Rebecca Schulman
Join us for the first of our 'Meet the Molecular Programmer' series, in which we talk with seasoned academics in our field about their journey and life experiences. In this episode, we chatted with Prof. Rebecca Schulman.
We briefly talked with Rebecca about her work from her early PhD journey to more recent work coming from her lab. We heard about her stories, the challenges, fun and exciting memories she had and lessons she learned during graduate school, and her wisdom about running her own lab. Rebecca provided valuable advice to students surviving and thriving graduate school and suggestions regarding working in a lab. We also had wonderful discussion about the interdisciplinary property of our field. Hope you enjoy the conversation! We certainly had a lot of fun!
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Find more information at the episode page here:
https://podcast.molpi.gs/media/schulman-r-7ffb8c72c09d6d9b/
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