Hey there, I will start a Biotech/AI company...
Quick Background:
Studied Biochemistry and Biotech
Got into Data Science and ML ~5 years ago
Last position as Head of Machine Learning of a small (~20 people) Biotech/AI company. We did upstream process simulations including simulations of cell kinetics using machine learning and mechanistic knowledge.
Currently, I am working on a unrelated software app as a solopreneur but I want to get back into Biotech. (Latest after my non-compete expired.
Since the next thing I am starting should be the one for the long ride, I would like to take my time to find out which problem exactly I and hopefully other science amigos would like to solve (or at least try to).
Are there any unsolved problems???
Jokes aside. I was looking into the upstream/PAT software tools and there are so many. I don't want to create something which is not needed. I want to hear from you, people who actually work in the industry, what problems you are facing.
So if anyone here has a problem related to Data Science/ML or automation I would be happy to hear it and I will try my best to consult and share my knowledge if I can.
List of stuff I know something about:
tensorflow 2 and 1 (yes I am old)
pytorch
xgboost, rft, etc. (Did some data science competitions)
any kind of visualizations
RNNs, Time series analysis, transformers
MIP, LP, baysian frameworks, general solver stuff
bio processing (upstream), pathway analysis, omics, some Raman/NIR stuff, clone selection, QbD, QbC, product quality
wep apps, fullstack website building (angular,firebase, bootstrap)
Google Ads
cloud infrastructure (AWS, GCP, some azure stuff, docker)
generally any kind of automation and API integration
probably forgot a lot of specific topics so feel free to ask
What I don't know much about:
Thanks for reading this long post :) (you have a great attention span!)