Harry's guest this week, Jen Nwankwo, is the founder and CEO of a drug discovery company in Boston called 1910 Genetics. Her PhD is in pharmacology, which shows through in her practical focus on fixing the drug discovery process to get more and better therapies into the hands of doctors. To hear Jen tell it, 1910 Genetics is focused on finding the most promising new drug candidates for stubborn health problems—and it takes a refreshingly agnostic approach to everything else.
The company doesn’t hunt for just small-molecule drugs or just protein therapies. It explores both. It doesn’t utilize just one form of neural networking or machine learning. It uses whatever model produces the best science for a given problem. It doesn’t hunt for drugs using just wet lab data or just computational simulations. It does both. It isn’t just assembling its own pipeline of drugs or just partnering with larger pharma companies. It’s working on both. Jen wasn’t even dead set on being an entrepreneur—she had to be talked into applying to the Y Combinator startup incubator and into accepting her Series A investment from Microsoft’s venture fun.
She says the way 1910 thinks about drug discovery is to start with the desired output -- say, a new molecule to block pain -- then figure out what sorts of data inputs exist. Then they find or create all the data they need to analyze the problem. Then they transform that data using whatever AI tools work best, until they get some decent drug candidates. She calls it Input, Transform, Output. It’s never that simple, of course. But at a time when AI and machine learning focused drug discovery companies are sprouting up faster than dandelions—each one touting some specific reason why its model is better than all the others—1910 Genetics is has a more inclusive approach to solving classic problems in pharmacology, and it’s one that should spread to other parts of the life science business.
Listen to the full episode of this podcast here.