Journal Papers

Conference Papers


Presentations and talks

  • “A statistical reference-free genomic algorithm subsumes common workflows and enables novel discovery.” Cold Spring Harbor Laboratory: Biological Data Science meeting 2022. Platform presentation.

  • “Bandit-based Monte Carlo Optimization.” Cornell ORIE Young Researcher's workshop 2021. Poster.

  • “Bandit-based Monte Carlo Optimization for Nearest Neighbors.” Baylearn 2020 (Symposium). Poster.

  • “Adaptive Monte Carlo Optimization: Ultra Fast Medoid Identification via Correlated Sequential Halving.” Baylearn 2019 (Symposium). Poster.

  • “DAMN fast: DNA Alignment using Multi-armed baNdits: Spectral Jaccard Similarity for long-read alignment.” Intelligent Systems for Molecular Biology (ISMB/ECCB 2019). Poster.

  • “Ultra Fast Medoid Identification via Correlated Sequential Halving.” 2019 North American School of Information Theory (School). Poster.


  • Information Theory (Stanford, EE276/Stats376a): Winter 2021-2022

  • Probability & Random Processes (Berkeley EECS 126): TA in Spring 2017, Head TA in Spring 2018

  • Discrete Math and Probability, Efficient Algorithms and Intractable Problems (Berkeley CS70 and CS170): reader in Fall 2015, Spring 2016 respectively