ARPITA BISWAS

Postdoctoral Fellow, Harvard University

arpita.biswas@live.in

arpitabiswas@seas.harvard.edu

Presently, I am a Postdoctoral Fellow at the Center for Research on Computation and Society (CRCS), John A. Paulson School of Engineering and Applied Sciences (SEAS), Harvard University. My broad areas of interests include Algorithmic Game Theory, Optimization, and Machine Learning. I have worked on problems arising in the field of Computational Social Choice Theory and Fairness in Machine Learning. I have prior experience in multi-agent learning (multi-armed bandit), incentive mechanisms, market algorithms, scheduling etc. and thus far, I have worked on problems arising from real-world scenarios like online crowd-sourcing, resource allocation, healthcare, dynamic pricing in transportation, ride sharing etc.

Prior to joining Harvard, I was a Visiting Researcher at Google Research (July 2020 to October 2020). During my stay at Google, I worked closely with a non-profit organization that carries out a free call-based program for spreading maternal care information among pregnant women, targeted towards low income households in India. I provided a mechanism that dynamically decides whom to provide personalized care (and when) with the goal of improving the overall well-being of the pregnant women who have enrolled to the call-based program.

Before joining Google, I pursued Ph.D. at the Department of Computer Science and Automation (CSA), Indian Institute of Science (IISc), from 2016 to 2020. During my Ph.D., I was awarded a Google Ph.D. Fellowship. My Ph.D. advisors are Prof. Narahari Yadati and Prof. Siddharth Barman. My dissertation provides algorithms for fair decision making in three main contexts---resource allocation, recommendation and classification.

Prior to joining Ph.D. at IISc, I had worked as a Research Engineer at Xerox Research Centre India (XRCI), Bangalore in the Algorithms and Optimization team (July 2014 – July 2016). I have completed Masters in Engineering from Department of Computer Science and Automation, Indian Institute of Science (2012-2014) with thesis titled “A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks”.

Professional Experience:

  • Visiting Researcher, Google Research (July 2020 to October 2020).

  • Research Intern at Microsoft Research Cambridge (April 2019 to July 2019).

  • Research Intern at Microsoft Research India (August 2018 to December 2018).

  • Research Engineer at Xerox Research Center India (July 2014 to July 2016).