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

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Data Science

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

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

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

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