Alan N. Amin

About me

I am a faculty fellow Courant Institute at NYU, working with the Wilson lab. I from June to August 2023 I was a postdoc at Jura bio. I completed my PhD in the Harvard Systems Biology program supervised by Debora Marks in 2023. I graduated with a BS in Biochemistry and Mathematics from the University of Toronto in 2019.

I work on building statistical tools for learning from biological sequence data – learning patterns in sets of sequences or learning from experimental data. In particular, I build flexible, often nonparametric, methods that can leverage the increasing amount of sequence data to make accurate predictions and learn new biology, in theory and in practice.

A link to my research statement.

A link to my CV.

Selected works

* denotes equal contribution

Amin A N, Weinstein E N*, Marks D S* (*Equal contribution). A Kernelized Stein Discrepancy for Biological Sequences. ICML, 2023. paper

Amin A N, Weinstein E N*, Marks D S* (*Equal contribution). Kernels with Guaranteed Flexibility for Reliable Machine Learning on Biological Sequences. arXiv, 2023. MassMutual Student Research Award at 2023 New England Statistics Symposium paper

Weinstein E N*, Amin A N*, Frazer J, Marks D S (*Equal contribution). Non-identifiability and the blessings of misspecification in models of molecular fitness and phylogeny. NeurIPS, 2022. Oral-Equivalent paper paper

Amin A N*, Weinstein E N*, Marks D S (*Equal contribution). A generative nonparametric Bayesian model for whole genomes. NeurIPS, 2021. paper

Contact

Reach me at alanamin@nyu.edu or 6173863043.