Amitesh Badkul

ML Enthusiast. Photographer. F1 Geek.

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New York City, NY

Hi! I’m a second-year PhD student in Computer Science under the guidance of Dr. Lei Xie at the Graduate Center, City University of New York. My research delves into the intersection of artificial intelligence, biology, and chemistry, aiming to address critical challenges in drug discovery and computational sciences.

Current Research Interests

  • Uncertainty Quantification for AI-based Drug Discovery: Exploring methods to enhance reliability and safety in AI models applied to drug discovery.
  • Multi-modal Representation Learning for Proteins and Chemicals: Developing models to integrate diverse biological and chemical data and correlate these models to actual biological insights.
  • Out-of-Distribution Generalization for Drug Discovery: Ensuring AI models perform effectively even on data distributions beyond their training sets for improved applicability in real-world.

news

Oct 19, 2025 Our work TESSERA is now available as a pre-print.
Oct 14, 2025 Our work eMOSAIC has now been accepted at Nature Machine Intelligence.
Feb 1, 2025 Our research on Pupillometry, carried out under the supervision of Dr. Srinivasa Prasad K, has been featured in Machine Graphics & Vision.
Dec 9, 2024 Our work, conducted under the guidance of Dr. Sudha Radhika, on COVID-19 CXR Classification was published in the Journal of Medical Engineering & Technology.
Jun 6, 2024 Started working at Dr. Lei Xie’s Lab as a PhD Student at the Graduate Center, City University of New York!