Akhil Jalan

Email: akhiljalan [at] utexas [dot] edu

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

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.


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

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

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

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]


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.