I am dedicating my life to making biology easier to engineer.
I both want to understand how the world works at its core and build huge systems that change how we interact (or think) about living things.
I studied Electrical Engineering, Computer Science, and Bioengineering at Berkeley. I dropped out to work on a stealth startup with pre-seed investment from Lucy Guo , the House , and Tyler Cowen .
I’m currently reading generally about or working on projects relating to:
- distributed + serverless computing
- bayesian statistics
- sparse coding
- microservice architectures (mostly K8s)
- early 1800s American history and the great inventors
- coding schemes w.r.t biological sequence
- information theory + evolution
Logging technical notes/derivations here
Reading list here .
A lot of progress has been stalled because people aren’t ambitious enough or diversely technical. Social cancer and (misaligned) incentives certainly don’t help.
There’s a very real and unique opportunity to rewrite history over the next few decades. Computing (the serverless kind), statistics (the ml kind), and automation (the non-grad student kind) are doing something special in a field that has been more qualitative then quantitative since its birth.
Please reach out if you want to work on these problems for real.
github | linkedin | twitter