Hemank Lamba

Research Scientist, Dataminr

New York, NY


I am currently a Research Scientist in AI Group at Dataminr.

Before this, I was a post-doc at Machine Learning Department, Carnegie Mellon University working with Rayid Ghani and Kit Rodolfa at the intersection of machine learning and public policy.

Previously, I was a PhD student in School of Computer Science at Carnegie Mellon University. I was fortunate to be advised by Christos Faloutsos and Jürgen Pfeffer. My research was funded by CMU Presidential Fellowship and SNAP Fellowship.

I have also been involved with various Data Science for Social Good programs (UChicago, IBM).

Years ago, I was a Software Engineer (Research) at IBM Research Labs in New Delhi, working in the Telecom and Mobile Research Group. I completed my BTech (Hons) in Computer Science from IIIT-Delhi.

I am a regular member of the PreCog research group @ IIIT-Delhi. Owe a lot of the skills I have obtained in research and development to them. They are a bunch of cool people doing amazing work to say the least.


  • Paper titled "This is Damn Slick! Estimating the Impact of Tweets on Open Source Project Popularity and New Contributors" won the Best Paper award at ICSE 2022 !!!

  • I am co-organizing a workshop on Social Media for Emergency Response. Check out the CFP here.

  • Paper on Popularity Shocks and their effect on User Behavior accepted at ICWSM-22. See you in Atlanta, GA !

  • I am co-organizing a Summer School on Computational Social Science - India edition. The goal is to study the nuances of computational social science from an Indian societal perspective; and learn and teach this to enthusiastic students.

  • Paper studying effect of link advertisement on social media On GitHub project dynamics accepted to ICSE 2022. (with Hongbo Fang, Jim Herbsleb and Bogdan Vasilescu).

  • Two papers discussing empirical tradeoffs between bias reduction and accuracy in high stakes public policy setting accepted at Nature Machine Intelligence and SIGKDD Explorations. TLDR: We find no tradeoffs as such in reducing bias and maintaining accuracy !!

  • Our work with Voter Protection Corps on identifying key counties which may face a shortage of poll-workers featured in multiple publishing houses [WESA, Fulcrum, CMU-Internal, Boston Herald, NewsBreak, TampaDispatch, KutAustin].

  • Paper on measuring information diffusion in open-source communities accepted at ESEC/FSE 2020.

  • Selected as Young Researcher for Heidelberg Laureate Forum, 2020.

Selected Awards & Honors

  • Best Research Paper, ICSE 2022.

  • Best Research Paper, SIAM SDM 2019

  • Heidelberg Laureate Forum Young Researcher - 2020.

  • Snap Fellowship, 2018

  • Carnegie Mellon Presidential Fellowship, 2016

  • Best Student Research Paper, ASONAM 2015

  • SBP Data Challenge Award, 2014

  • Best Poster Award, SPS 2014

  • Best Paper Award, PSOSM workshop, co-located at WWW 2013.

  • Travel Grants - KDD, SDM, ICWSM, WebConf

  • Best Reviewer Award - ICWSM 2020, 2021

  • Best SPC Reviewer Award - ICWSM 2022