Publications

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. SynthPert: Enhancing LLM Biological Reasoning via Synthetic Reasoning Traces for Cellular Perturbation Prediction. Arxiv, 2025.

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. LangPert: LLM-Driven Contextual Synthesis for Unseen Perturbation Prediction. MLGenX at ICLR 2025 (selected as Oral Presentation), 2025.

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. Enhancing generative perturbation models with LLM-informed gene embeddings. Accepted to MLGenX workshop at ICLR 2024, 2024.

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. Disentangling shared and private latent factors in multimodal Variational Autoencoders. Accepted to MLCB (2023), 2023.

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. Neural Decomposition: Functional ANOVA with Variational Autoencoders. Accepted to AISTATS (2020), 2020.

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. BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders. Accepted to AISTATS (2020), 2020.

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. Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models. Accepted to ICML (2019), 2019.

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. Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models. Accepted to AISTATS (2019), 2019.

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. Predicting quantitative traits from genome and phenome with near perfect accuracy. In Nature communications (2016), 2016.

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. seqlm: an MDL based method for identifying differentially methylated regions in high density methylation array data. In Bioinformatics (2016), 2016.

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