Beyond knowing how things are,
There is no other understanding.

A Song on the Six Perfections, Milarepa

I am an associate professor in the School of Operations Research and Information Engineering (ORIE) at Cornell, as well as a field member in Departments of Computer Science, ECE, and the Center for Applied Mathematics.

I work on topics at the intersection of data-driven decision-making and stochastic control, economics and computation, and large-scale network algorithms. Some of my current research interests include:

  • New data-driven approaches for online decision-making [seminar]
  • Non-monetary mechanisms and information design [seminar]
  • Equity and fairness in online decision-making [seminar]
  • Stochastic coupling techniques in control (tutorial: [part 1], [part 2])

Prior to Cornell, I received my PhD from the ECE Department at UT Austin, and was a postdoctoral researcher at Stanford MS&E. I also served as technical consultant at Lyft in 2014-18, where I helped develop and implement Lyft’s primetime pricing; the following tutorial and book chapter give an overview of my work on ridesharing platforms.

I am currently on sabbatical at the Simons Institute in Berkeley as a co-organizer of the program on Data-Driven Decision-Making.

Recent Publications

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But above all
Always above all else: how does one act
If one believes what you say?

- The Doubter, Bertolt Brecht

[conf] Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve (2021)
SIGMETRICS ‘22.
Sean Sinclair, Siddhartha Banerjee, Christina Lee Yu

PDF arXiv code

[conf] Online Nash Social Welfare with Predictions (2021)
SODA ‘22.
Siddhartha Banerjee, Vasilis Gkatzelis, Artur Gorokh, Billy Jin

PDF arXiv

[preprint] Pseudo-Competitive Games and Algorithmic Price Competition (2021)
Preprint SSRN_id:3925242
Chamsi Hssaine, Siddhartha Banerjee, Vijay Kamble

PDF SSRN

[conf] Threshold Tests as Quality Signals: Optimal Strategies, Equilibria, and Price of Anarchy (2021)
WINE ‘21.
Siddhartha Banerjee, David Kempe, Robert Kleinberg

arXiv

[conf] The Remarkable Robustness of the Repeated Fisher Market (2021)
EC ‘21.
Artur Gorokh, Siddhartha Banerjee, Krishnamurthy Iyer

PDF Video SSRN

[jour] Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework (2021)
Operations Research
Siddhartha Banerjee, Daniel Freund, Thodoris Lykouris

PDF ArXiv

[conf] Real-Time Approximate Routing for Smart Transit Systems (2021)
SIGMETRICS ‘21.
Siddhartha Banerjee, Chamsi Hssaine, Noemie Perivier, Samitha Samaranayake

PDF Link arXiv

[preprint] The Limits of an Information Intermediary in Auction Design (2020)
Preprint arXiv_id:2009.11841
Reza Alijani, Siddhartha Banerjee, Kamesh Munagala, Kangning Wang

PDF arXiv

[jour] Computing Constrained Shortest-Paths at Scale (2020)
Operations Research
Alberto Vera, Siddhartha Banerjee, Samitha Samaranayake

PDF

[conf] Adaptive Discretization for Model-Based Reinforcement Learning (2020)
NeurIPS ‘20.
Sean Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu

PDF Video arXiv Code

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Again and as always,
and as seen above
there are no questions more urgent
than the naive ones.

- The Turn of the Century, Wislawa Szymborska

Students and Collaborators

And the point is, to live everything.
Live the questions now.
Perhaps then someday far in the future,
you will gradually, without noticing,
live your way into the answer.

- Letters to a Young Poet #4, Rainer Maria Rilke
Current PhD Advisees

Past Advisees

Other Past Student Collaborators

Cristopher Archer  
ORIE undergraduate 

Carrie Rucker  
ORIE undergraduate (2021)

Max Solberg  
ORIE/CS undergraduate (2021)
Technology Analyst @ Morgan Stanley

Gauri Jain  
CS undergraduate (2020)
Data Scientist @ Facebook (joining Harvard CS for a PhD in 2022)

Thodoris Lykouris  
Cornell CS PhD (2019)
Assistant Professor @ MIT Sloan

Clare Snyder  
IS undergraduate (2019)
PhD student @ Michigan Ross

Noemie Perivier  
Ecole Polytechnique intern (2019)
PhD student @ Columbia IEOR

Xiang (Felix) Fu  
CS undergraduate (2019)
PhD student @ MIT EECS

Daniel Freund  
Cornell CAM PhD (2018)
Assistant Professor @ MIT Sloan

Thibault Séjourné  
Ecole Polytechnique intern (2017)
PhD student @ Ecole Normale Supériure

Sid Reddy  
CS undergraduate (2017)
PhD student @ Berkeley EECS

Nitin Shyamkumar  
CS undergraduate (2017)
PhD student @ NYU Courant

Teaching

May there be many summer mornings when,
with what pleasure, what joy,
you enter harbors you are seeing for the first time.

- Ithaka, Constantine Cavafy

Fa 2021   
 Online Decision-Making and Market Design 
  ORIE 6180  [Graduate]
Sp 2021   
 Information Theory & Bayesian ML 
  ORIE 4742  [UG/Masters]
Fa 2020   
 Simulation Modeling and Analysis 
  ORIE 4580/5580/5581  [UG/Masters]
Sp 2020   
 Information Theory and Bayesian ML 
  ORIE 4742  [UG/Masters]
Fa 2019   
 Applied Stochastic Processes 
  ORIE 6500  [Graduate]
Fa 2018   
 Simulation Modeling and Analysis 
  ORIE 4580/5580/5581  [UG/Masters]
Sp 2018   
 Markov Chain Mixing and Applications 
  ORIE 7591  [Graduate topics]
Fa 2017   
 Simulation Modeling and Analysis 
  ORIE 4580/5580/5581  [UG/Masters]
Sp 2017   
 Pricing and Market Design 
  ORIE 4154  [UG/Masters]
Fa 2016   
 Revenue Management 
  ORIE 6154  [Graduate]
Sp 2016   
 The Design of Online Marketplaces 
  ORIE 6180  [Graduate]
Fa 2015   
 Stochastics at Scale 
  ORIE 4520  [UG/Masters]

We shall not cease from exploration
and the end of all our exploring
will be to arrive where we started
and know the place for the first time.

- Little Gidding (from the Four Quartets), T. S. Eliot

Bio

Download complete CV

Don't worry about the overall importance of the problem;
work on it if it looks interesting.
I think there's probably a sufficient correlation
between interest and importance.

- David Blackwell

Sid Banerjee is an associate professor in the School of Operations Research at Cornell, working on topics at the intersection of data-driven decision-making, network algorithms and market design.

His research is supported by grants from the NSF (including an NSF CAREER award, as well as CNS 1955997, CNS 1952011 and DMS 1839346), the ARL Network Sciences division, and Engaged Cornell. His work has received several awards, including the Erlang Prize, and the INFORMS APS Best Publication Award.

Before coming to Cornell, Sid received his PhD from the ECE Department at UT Austin, and was a postdoctoral researcher in the Social Algorithms Lab at Stanford. He served as a technical consultant with the research science group at Lyft.