Enjoyed the research. I feel like more people are getting into the computer science or management degrees and less into bio engineering space. I may be saying this because I did CS in my undergrad and working in a software company. I have heard people like Bill Gates say that computational biology is going to be the next thing but it's not as easy as building software where you just need a laptop and some decent coding skills. I have been reading your posts for some time and I'm interested in may be exploring this space by doing some projects. How can someone like me from programming background transition to this field?
Thanks Kaushik! The field definitely needs more talented computer scientists.
When it comes to self study, one of the best canonical resources for quickly learning the basic principles of biology is Molecular Biology of the Cell, by Bruce Alberts. It's surprisingly accessible.
After that (or in parallel), there are some nice resources for learning bioinformatics / comp bio, like:
It's also never too early to engage with researchers and startups that you're excited by to learn about their problems. More and more young biotech companies are actively looking for engineering talent.
"On February 1st, Intellia Therapeutics published new clinical results for CRISPR editing of the liver to treat hereditary angioedema...So far, patients receiving the editing treatment have experienced a 95% reduction in these attacks."
Beautiful article and well written! I still consider genetic editing technologies as a double-edged sword but I truly recognize the pioneering work and the massive contribution to scientific advancement.
Thank you for the updates. I worked on CRISPRi/a tools in grad school but things are developing so fast these days, it's easy to fall behind the times!
A platform concept that might work here: lots of always-on geothermal energy (up to 2GB (by 2030s) from volcanic brine at 6000’); that includes a revenue engine (up to 600k/yr tonnes of lithium filtered from geothermal brine) funding/supporting a Groq compute facility hosting MOE AI models hosted by devs/scientists incentivized to add IP to each subnetwork. It’s a lot deeper of course, but I continue to develop this.
Enjoyed the research roundup, please do more! Thanks.
Thanks Rick!
Enjoyed the research. I feel like more people are getting into the computer science or management degrees and less into bio engineering space. I may be saying this because I did CS in my undergrad and working in a software company. I have heard people like Bill Gates say that computational biology is going to be the next thing but it's not as easy as building software where you just need a laptop and some decent coding skills. I have been reading your posts for some time and I'm interested in may be exploring this space by doing some projects. How can someone like me from programming background transition to this field?
Thanks Kaushik! The field definitely needs more talented computer scientists.
When it comes to self study, one of the best canonical resources for quickly learning the basic principles of biology is Molecular Biology of the Cell, by Bruce Alberts. It's surprisingly accessible.
After that (or in parallel), there are some nice resources for learning bioinformatics / comp bio, like:
- Coursera Genomic Data Science: https://www.coursera.org/specializations/genomic-data-science
- Rosalind (and the associated textbook): https://rosalind.info/problems/locations/
It's also never too early to engage with researchers and startups that you're excited by to learn about their problems. More and more young biotech companies are actively looking for engineering talent.
"On February 1st, Intellia Therapeutics published new clinical results for CRISPR editing of the liver to treat hereditary angioedema...So far, patients receiving the editing treatment have experienced a 95% reduction in these attacks."
This is incredibly promising!
Beautiful article and well written! I still consider genetic editing technologies as a double-edged sword but I truly recognize the pioneering work and the massive contribution to scientific advancement.
Thank you for the robust and thoughtful post! You are an incredible source to maintain literacy in the field.
Thank you for the updates. I worked on CRISPRi/a tools in grad school but things are developing so fast these days, it's easy to fall behind the times!
A platform concept that might work here: lots of always-on geothermal energy (up to 2GB (by 2030s) from volcanic brine at 6000’); that includes a revenue engine (up to 600k/yr tonnes of lithium filtered from geothermal brine) funding/supporting a Groq compute facility hosting MOE AI models hosted by devs/scientists incentivized to add IP to each subnetwork. It’s a lot deeper of course, but I continue to develop this.