Akhil Jalan

Email: akhiljalan [at] utexas [dot] edu

[Curriculum Vitae (CV)]
[Google Scholar Profile]
[LinkedIn]
[Github]

I am a third-year computer science PhD student at UT Austin, co-advised by Deepayan Chakrabarti and Purnamrita Sarkar.
Research interests:
  • Operations Research
  • Network theory
  • Statistics
  • Alternative proteins and cellular agriculture
Before coming to UT, I worked as a Data Scientist in San Francisco, CA from 2019-2020. I earned a bachelor's degree in Applied Mathematics from UC Berkeley in May 2019. I have worked in a variety of areas previously, including computational complexity, discrete dynamical systems, algorithmic fairness, and controls theory.

Papers

Incentive-Aware Models of Dynamic Financial Networks
Akhil Jalan, Deepayan Chakrabarti, Purnamrita Sarkar.
Preprint, 2022.
[arXiv]

Extractors for Images of Varieties
Zeyu Guo, Ben Lee Volk, Akhil Jalan, David Zuckerman.
Preprint, 2022.
[ECCC]

Near-Optimal Cayley Expanders for Abelian Groups
Akhil Jalan, Dana Moshkovitz.
FSTTCS 2021.
[Conference Paper: FSTTCS 2021]
[Talk: FSTTCS 2021]
[arXiv]

Too Many Fairness Metrics: Is There a Solution?
Swati Gupta, Akhil Jalan, Gireeja Ranade, Helen Yang, Simon Zhuang.
Ethics of Data Science 2020.
[Conference paper: Ethics of Data Science 2020]
[Lightning talk: Mechanism Design for Social Good 2020]
[Poster Session: Mechanism Design for Social Good 2020]

Some New Numeric Results Concerning the Witsenhausen Counterexample
Vignesh Subramanian, Laura Brink, Nikunj Jain, Kailas Vodrahalli, Akhil Jalan, Nikhil Shinde, Anant Sahai.
Allerton 2018.
[Conference Paper: Allerton 2018]

Other Writing

The Structure of the Sandpile Group
Akhil Jalan.
[Bachelor's Thesis: UC Berkeley 2019]

Miscellaneous

If you are at UT, check out Mathematicians of Color Alliance at Texas (MoCAT).

My Erdos number is 3 (calculate yours here).

The template for this webpage is due to Pasin Manurangsi.