Amitesh Badkul

PhD student, Computer Science, Graduate Center, CUNY

Joined

September 2023

Names

Amitesh Badkul (Preferred)

Emails

****@hunter.cuny.edu (Confirmed)

,

****@alumni.bits-pilani.ac.in (Confirmed)

,

****@gmail.com (Confirmed)

,

****@gradcenter.cuny.edu (Confirmed)

Personal Links

Career & Education History

PhD student

Computer Science, Graduate Center, CUNY (gradcenter.cuny.edu)

2024 – Present

Researcher

Computer Science, Hunter College, CUNY (hunter.cuny.edu)

2022 – 2024

Undergrad student

Electrical And Electronics Engineering, BITS Pilani, Birla Institute of Technology and Science (hyderabad.bits-pilani.ac.in)

2018 – 2023

MS student

Chemistry, BITS Pilani, Birla Institute of Technology and Science (hyderabad.bits-pilani.ac.in)

2018 – 2023

Advisors, Relations & Conflicts

PhD Advisor

2024 – Present

Expertise

No areas of expertise listed

Publications

Multimodal out-of-distribution individual uncertainty quantification enhances binding affinity prediction for polypharmacology
Amitesh Badkul, Li Xie, Shuo Zhang, Lei Xie
- Nature Machine Intelligence
- Readers: Everyone
TrustAffinity: accurate, reliable and scalable out-of-distribution protein-ligand binding affinity prediction using trustworthy deep learning
Amitesh Badkul, Li Xie, Shuo Zhang, Lei Xie
- AI4D3 2023 Poster
- Readers: Everyone
End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins
Tian Cai, Li Xie, Shuo Zhang, Muge Chen, Di He, Amitesh Badkul, Yang Liu, Hari Krishna Namballa, Michael Dorogan, Wayne W. Harding, Cameron Mura, Philip E. Bourne, Lei Xie
- Published: 01 Jan 2023, Last Modified: 01 Nov 2023
- PLoS Comput. Biol. 2023
- Readers: Everyone

Co-Authors