I’m Divyan, a 17-year-old interested in solving biological problems by engineering the immune system with the support of machine learning.
I think that by 2030, people will look back on the AI boom and think that its biggest impact was on biotechnology research. The scope of the problems we face in biology is fundamental to all humans, as we are each a system that can malfunction. Biotech’s biggest roadblock on the path to this future is the repetitive nature of research, with experiments being done that have the potential to be represented by machine learning models. By removing this barrier, researchers will have more time to do meaningful experiments, rapidly accelerating biological discovery.
My goal in this timeline is to facilitate biotech’s acceleration to the best of my ability. Right now, this means working on predictive machine learning models to improve research. This allows me to have the most impact in the field, hopefully decreasing the time it takes to make new discoveries. Once the cap has been released and biology has exploded, I want to also work on engineering the immune system. Immunology offers us a great chance to treat many diseases and with machine learning, it will offer great opportunities for making a huge impact.
Even though biology is my main interest right now, I think that getting a holistic view of the world is great for getting perspective. Knowing a lot of stuff is cool too. My health is also something that I'm trying to improve through weightlifting, sports, and healthy eating. My other interests include writing and philosophy.