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Neha Tadimeti
Observed name:
Tadimeti, Neha
Institutions:
University of Oxford,
Nvidia (United States)
Observed institutions:
University of Oxford,
Nvidia (United States)
OpenAlex ID:
A5058150644
The NVIDIA PilotNet Experiments
2020
·
Bojarski, Mariusz
, Chen, Chenyi
, et al.
·
arXiv (Cornell University)
·
12
PDF
BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery
2024
·
John, Peter St.
, Lin, Dejun
, et al.
·
arXiv (Cornell University)
·
11
PDF
Designing AI-programmable therapeutics with the EDEN family of foundation models
2026
·
Geraldene Munsamy
, Gavin Ayres
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
5
An international virtual hackathon to build tools for the analysis of structural variants within species ranging from coronaviruses to vertebrates
2021
·
Ann M. Mc Cartney
, Medhat Mahmoud
, et al.
·
F1000Research
·
3
Temporal AI model predicts drivers of cell state trajectories across human aging
2026
·
Javier Gόmez Ortega
, Rangarajan D. Nadadur
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
1
Fold-CP: A Context Parallelism Framework for Biomolecular Modeling
2026
·
Lin, Dejun
, Chu, Simon
, et al.
·
arXiv (Cornell University)
PDF
Peer Review Report For: An international virtual hackathon to build tools for the analysis of structural variants within species ranging from coronaviruses to vertebrates [version 2; peer review: 1 approved, 3 approved with reservations]
2021
·
Ann M. Mc Cartney
, Medhat Mahmoud
, et al.
PDF
Peer Review Report For: An international virtual hackathon to build tools for the analysis of structural variants within species ranging from coronaviruses to vertebrates [version 1; peer review: 4 approved with reservations]
2021
·
Ann M. Mc Cartney
, Medhat Mahmoud
, et al.
Peer Review Report For: An international virtual hackathon to build tools for the analysis of structural variants within species ranging from coronaviruses to vertebrates [version 1; peer review: 4 approved with reservations]
2021
·
Ann M. Mc Cartney
, Medhat Mahmoud
, et al.
Multi-linear algebra based techniques for foreground and background separation
2017
·
Tadimeti, Neha
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Works count:
10
Citation count:
32
H-index:
3
I10-index:
2
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