Bharath received a BA and BS from UC Berkeley in EECS and Mathematics and was valedictorian of his graduating class in mathematics. He is currently a PhD student in computer science at Stanford University whose research focuses on the application of deep-learning to problems in drug-discovery. Bharath is also the lead developer and creater of deepchem.io and co-creator of moleculenet.ai. To see a list of his publications check google-scholar.
Bharath’s graduate education was supported by a Hertz Fellowship, the most selective graduate fellowship in the sciences.
- Why Blockchain Could (One Day) Topple Google
- Learning to Learn
- What is Ethereum?
- Liquidity in Drug Discovery
- The Innovator’s Open Source Dilemma
- Building The Open Source Drug Discovery Ecosystem
- What Can’t Deep Learning Do?
- Machine Learning With Small Data
- Software Patents Are Obsolete in the Age of AI
- தமிழில் விஞ்ஞானத்தை வளர்ப்போம்! (Science for all languages!)
- A Short Overview of Drug Discovery
- Why Should Drug Discovery Be Open Source?
- Software Is Eating Science
- Can AI Believe in God? A Parable about Diversity
- Learning Models of Disease
- The Ferocious Complexity of the Cell
- Why Antibiotics Are Hard
- Machine Learning For Scientific Datasets