Akshay Balsubramani

Computer Science · Physical Sciences

14h-index1.3kcitations48works10.92yr avg
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Research Topics

Imbalanced Data Classification Techniques(7), Machine Learning and Algorithms(7), Statistical Methods and Inference(6), Single-cell and spatial transcriptomics(6), Machine Learning and Data Classification(6)

Publications48 total

MolQuery: Prediction of Lipid Synthesizability Using Active Learning
ACS Omega·2026Open Access
Multiomic profiling reveals that prostaglandin E2 reverses aged muscle stem cell dysfunction, leading to increased regeneration and strength
Cell stem cell·2025· 5 citedOpen Access
Computational Methods for Modeling Lipid-Mediated Active Pharmaceutical Ingredient Delivery
Molecular Pharmaceutics·2025· 20 citedOpen Access
Laws of thermodynamics for exponential families
arXiv (Cornell University)·2025Open Access
Growth-Optimal E-Variables and an extension to the multivariate Csiszár-Sanov-Chernoff Theorem
arXiv (Cornell University)·2024Open Access
Entropy, concentration, and learning: a statistical mechanics primer
arXiv (Cornell University)·2024Open Access
CodonBERT large language model for mRNA vaccines
Genome Research·2024· 40 citedOpen Access
Representations of lipid nanoparticles using large language models for transfection efficiency prediction
Bioinformatics·2024· 22 citedOpen Access
Deep learning the cis-regulatory code of chromatin dynamics during cellular reprogramming
2023· 39 citedOpen Access
CodonBERT: Large Language Models for mRNA design and optimization
2023· 30 citedOpen Access
Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease
Cell·2022· 95 citedOpen Access
Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease
2022· 9 citedOpen Access
Accelerating <i>in silico</i> saturation mutagenesis using compressed sensing
Bioinformatics·2022· 11 citedOpen Access
Domain-adaptive neural networks improve cross-species prediction of transcription factor binding
Genome Research·2022· 40 citedOpen Access
Accelerating in-silico saturation mutagenesis using compressed sensing
2021· 1 citedOpen Access
A genome-wide atlas of co-essential modules assigns function to uncharacterized genes
Nature Genetics·2021· 215 citedOpen Access
Domain adaptive neural networks improve cross-species prediction of transcription factor binding
2021· 7 citedOpen Access
p-value peeking and estimating extrema
arXiv (Cornell University)·2020Open Access
Sharp finite-sample large deviation bounds for independent variables.
arXiv (Cornell University)·2020Open Access
Sharp finite-sample concentration of independent variables
arXiv (Cornell University)·2020Open Access
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Frequent Co-authors

Yoav Freund(12), Anshul Kundaje(10), Surag Nair(6), Anna Shcherbina(4), Vikram Agarwal(4), Sven Jäger(4), M Snyder(3), Laksshman Sundaram(3), Ioannis Karakikes(3), Ke Wang(3), Sizhen Li(3), Saeed Moayedpour(3), Michael Bailey(3), Saleh Riahi(3), Lorenzo Kogler-Anele(3), Fernando Ulloa Montoya(3), Ziv Bar‐Joseph(3), Jacob Schreiber(3), Sanjoy Dasgupta(3), Orr Ashenberg(2)