Neha Tadimeti

Neha Tadimeti is the product lead for BioNeMo Framework, NVIDIA’s Digital Biology AI training platform. Neha’s background is in deep learning, with an M.Sc. degree from Rutgers University and over eight years of industry experience with AI applications in various domains.
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Posts by Neha Tadimeti

Simulation / Modeling / Design Apr 28, 2026

Scaling Biomolecular Modeling Using Context Parallelism in NVIDIA BioNeMo

For decades, computational biology has operated under a reductionist compromise. To fit complex biological systems into the limited memory of a single GPU,... 9 MIN READ
Decorative image.
Data Science Nov 05, 2025

Scale Biology Transformer Models with PyTorch and NVIDIA BioNeMo Recipes

Training models with billions or trillions of parameters demands advanced parallel computing. Researchers must decide how to combine parallelism strategies,... 7 MIN READ
Developer Tools & Techniques Nov 04, 2025

How to Predict Biomolecular Structures Using the OpenFold3 NIM

​​For decades, one of biology’s deepest mysteries was how a string of amino acids folds itself into the intricate architecture of life. Researchers built... 5 MIN READ
cuEquivariance expands to accelerate next-gen protein structure models
Simulation / Modeling / Design Jun 11, 2025

Accelerated Molecular Modeling with NVIDIA cuEquivariance and NVIDIA NIM microservices

The emergence of models like AlphaFold2 has skyrocketed the demand for faster inference and training of molecular AI models. The need for speed comes with... 8 MIN READ
Image shows a 3D molecular structure of a protein, most likely an antibody, visualized using a ribbon diagram, with the classic Y-shaped configuration characteristic of antibodies.
Data Science Dec 03, 2024

In-Silico Antibody Development with AlphaBind Using NVIDIA BioNeMo and AWS HealthOmics

Antibodies have become the most prevalent class of therapeutics, primarily due to their ability to target specific antigens, enabling them to treat a wide range... 6 MIN READ