Akhil Jalan
Machine learning researcher focusing on transfer learning and bioprocessing
New York, New York, United States
Joined February 2026
Summary
Machine learning researcher with strong theoretical grounding: Akhil's publications and dissertation show sustained work on transfer learning, active learning, and provable statistical methods for complex and heterogeneous data. neurips+2
Bridges machine learning and biological/bioprocessing applications: Akhil has contributed to cultivated meat and bioprocessing research (IFPAC 2024), participated in the Cultivated Meat Modeling Consortium, and held R&D roles focused on multi-omics and cellular agriculture. github+2
Broad academic range spanning algorithms, optimization, and controls: his CV and papers include work in theoretical computer science (STOC, FSTTCS), optimization and control theory, and applied statistical modeling. github+1
Public-facing researcher and developer: maintains a personal website, writes a Substack newsletter, and shares code and models publicly (GitHub, Hugging Face), indicating active engagement with both academic and open-source communities. github+3
Work
Education
Projects
Writing
Optimal Transfer Learning for Missing Not-at-Random Matrix Completion
January 1, 2025Paper (arXiv/2025) on transfer learning for matrix completion in Missing Not-at-Random (MNAR) settings, with minimax lower bounds and efficient estimation methods.
Heterogeneous and Dynamic Network Modeling and Statistical Inference with Provable Guarantees (PhD Dissertation)
January 1, 2025PhD dissertation presenting work on heterogeneous and dynamic network modeling and statistical inference with provable guarantees.
Transfer Learning for Latent Variable Network Models
January 1, 2024NeurIPS 2024 paper studying transfer learning for latent-variable network models; gives algorithms and theoretical guarantees for estimating a target network using a related source network.
Model-Based Control in Cultivated Meat Cell Cultures through Raman Spectroscopy (IFPAC 2024)
January 1, 2024Conference talk describing model-based control approaches applied to cultivated meat cell cultures using Raman spectroscopy.