Raghav Tandon

Raghav Tandon, PhD

Research Fellow in Biomedical Informatics

Raghav Tandon's research develops computational approaches to advance precision medicine by understanding how environmental factors and disease progression patterns influence individual health outcomes. He leverages machine learning to analyze gene-environment interactions and model disease trajectories using multi-modal data. His work on scalable algorithms for disease progression modeling has enabled patient stratification and improved clinical trial design. Going forward, He aims to create interpretable frameworks that integrate genetic, proteomic, and environmental data to enable truly personalized therapeutic decisions and better disease monitoring.

EmbedGEM: a framework to evaluate the utility of embeddings for genetic discovery.
Authors: Mukherjee S, McCaw ZR, Pei J, Merkoulovitch A, Soare T, Tandon R, Amar D, Somineni H, Klein C, Satapati S, Lloyd D, Probert C.
Bioinform Adv
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What Threshold of Amyloid Reduction Is Necessary to Meaningfully Improve Cognitive Function in Transgenic Alzheimer's Disease Mice?
Authors: Singh A, Maker M, Prakash J, Tandon R, Mitchell CS.
J Alzheimers Dis Rep
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sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering.
Authors: Tandon R, Kirkpatrick A, Mitchell CS.
Inf Process Med Imaging
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Predictors of Cognitive Decline in Healthy Middle-Aged Individuals with Asymptomatic Alzheimer's Disease.
Authors: Tandon R, Zhao L, Watson CM, Elmor M, Heilman C, Sanders K, Hales CM, Yang H, Loring DW, Goldstein FC, Hanfelt JJ, Duong DM, Johnson ECB.
Res Sq
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Machine Learning Selection of Most Predictive Brain Proteins Suggests Role of Sugar Metabolism in Alzheimer's Disease.
Authors: Tandon R, Levey AI, Lah JJ, Seyfried NT, Mitchell CS.
J Alzheimers Dis
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A large-scale neural network training framework for generalized estimation of single-trial population dynamics.
Authors: Keshtkaran MR, Sedler AR, Chowdhury RH, Tandon R, Basrai D, Nguyen SL, Sohn H, Jazayeri M, Miller LE, Pandarinath C.
Nat Methods
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A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution.
Authors: Zhu F, Grier HA, Tandon R, Cai C, Agarwal A, Giovannucci A, Kaufman MT, Pandarinath C.
Nat Neurosci
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Canalization of the Polygenic Risk for Common Diseases and Traits in the UK Biobank Cohort.
Authors: Nagpal S, Tandon R, Gibson G.
Mol Biol Evol
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