Sawal Acharya
About: I am a first-year master's student in the Institute for Computational and Mathematical Engineering (ICME) at Stanford.
Previously, I was a Research Associate at Gibson Lab of Brigham and Women's Hospital. And before that, I studied
math and economics at Columbia.
Outside of studies, I enjoy hiking in the mountains, running, biking, and playing & watching football (soccer).
Research Interest: My research interests lie in blending machine learning, statistics, and optimization to make data-driven models more reliable and robust.
I am particularly excited about quantifying uncertainties in such models. Before delving into the world of machine learning and statistics, I conducted research in economics.
The papers that I contributed to can be found here and
here.
Publications / Pre-prints
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Jon Ball, Sawal Acharya, Anna Saraiva. Detecting ChatGPT Modification in Global Education Research: A Case Study Across Translated and Open Access Contexts. (Under Review at EMNLP). 2024.
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Travis E. Gibson, Sawal Acharya, Anjali E. Parashar, Joseph E. Gaudio, Anuradha Annaswamy. On the Stability of Second Order Gradient Descent for Time Varying Convex Functions. (Under review at NeurIPS) arXiv: 2405.13765. 2024.
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Younhun Kim, Colin J. Worby, Sawal Acharya, Lucas R. van Dijk, Daniel Alfonsetti, Zackary Gromko, Philippe Azimzadeh, Karen Dodson, Georg Gerber, Scott Hultgren, Ashlee M. Earl, Bonnie Berger, Travis E. Gibson. ChronoStrain: Strain Tracking with Uncertainty Quantification. (Under review at Nature Microbiology) bioRxiv: 2023.01.25.525531. 2023.
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Travis E. Gibson, Younhun Kim, Sawal Acharya, David E. Kaplan, Nicholas DiBenedetto, Richard Lavin, Bonnie Berger, Jessica R. Allegretti, Lynn Bry, Georg K. Gerber. Microbial Dynamics Inference at Ecosystem-Scale. (Under revision) bioRxiv: 2021.12.14.469105v2. 2023.
Workshop Publications
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Younhun Kim, Sawal Acharya, Daniel Alfonsetti, Georg Gerber, Bonnie Berger, and Travis Gibson. ChronoStrain: Sequence Quality and Time Aware Strain Tracking with Shotgun Metagenomic Data. ICML Workshop on Computational Biology. 2020.
Working Papers
- Chandra Bhandari, Sawal Acharya. Do Civil Wars Influence Voter Participation? A case study from Nepal.
Teaching
I have served as a Teaching Assistant for the following courses at Stanford: