Artwork

Content provided by The Molecular Programming Interest Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Molecular Programming Interest Group or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Player FM - Aplicație Podcast
Treceți offline cu aplicația Player FM !

William Poole

59:06
 
Distribuie
 

Manage episode 298861537 series 2836862
Content provided by The Molecular Programming Interest Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Molecular Programming Interest Group or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

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 talk about how William got into molecular programming from his undergraduate degree, which focussed on physics and biology. He describes how his undergraduate research led him in various directions, and even into working in bioinformatics at the Institute of Systems Biology for a few years before pursuing graduate school.

This ultimately spurred on a somewhat grand discussion on William’s “dream” for molecular programming. He is very concerned about climate change, and talks at length about how in the long term we might be able to program many of the materials around us to sequester carbon, and eventually “re-terraform” the earth. Finally, we asked why physicists and engineers are able to come together to build large scale projects such as the LHC and ISS, while no such projects exist for the biological sciences, and we speculate on what such a project could look like for our field...

BioCRNPyler: https://github.com/BuildACell/BioCRNPyler
Bioscrape: https://github.com/biocircuits/bioscrape
Vivarium: https://github.com/vivarium-collective/vivarium-core

---
Find more information at the episode page here:
https://podcast.molpi.gs/media/poole-w-9a5d873910edd591/

  continue reading

28 episoade

Artwork
iconDistribuie
 
Manage episode 298861537 series 2836862
Content provided by The Molecular Programming Interest Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Molecular Programming Interest Group or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

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 talk about how William got into molecular programming from his undergraduate degree, which focussed on physics and biology. He describes how his undergraduate research led him in various directions, and even into working in bioinformatics at the Institute of Systems Biology for a few years before pursuing graduate school.

This ultimately spurred on a somewhat grand discussion on William’s “dream” for molecular programming. He is very concerned about climate change, and talks at length about how in the long term we might be able to program many of the materials around us to sequester carbon, and eventually “re-terraform” the earth. Finally, we asked why physicists and engineers are able to come together to build large scale projects such as the LHC and ISS, while no such projects exist for the biological sciences, and we speculate on what such a project could look like for our field...

BioCRNPyler: https://github.com/BuildACell/BioCRNPyler
Bioscrape: https://github.com/biocircuits/bioscrape
Vivarium: https://github.com/vivarium-collective/vivarium-core

---
Find more information at the episode page here:
https://podcast.molpi.gs/media/poole-w-9a5d873910edd591/

  continue reading

28 episoade

Toate episoadele

×
 
Loading …

Bun venit la Player FM!

Player FM scanează web-ul pentru podcast-uri de înaltă calitate pentru a vă putea bucura acum. Este cea mai bună aplicație pentru podcast și funcționează pe Android, iPhone și pe web. Înscrieți-vă pentru a sincroniza abonamentele pe toate dispozitivele.

 

Ghid rapid de referință