I’m a junior (3rd year) undergrad at Cornell University, and a recipient of the Tata Scholarship and the Telluride Scholarship. I study Computer Science and Applied Mathematics with a focus on Machine Learning and Optimization. Additionally, I’m interested in environmental and economic sustainability.

I live in the Telluride House at Cornell, research at the Computational Sustainability lab, and volunteer as the Research Lead in Cornell’s Association of Computer Science Undergraduates.

Computation and human thought have at least 1 common feature: both have inputs and outputs.

May 2019

Received a Course Staff Award as a Teaching Assistant for CS 4850: Mathematical Foundations of the Information Age.

Our work on “GPU-accelerated Principal-Agent Game for Scalable Citizen Science” will appear at ACM COMPASS 2019.

  • Presented this work at the 2019 Ivy League Undergraduate Research Symposium at UPenn and won the Outstanding Poster Presenter Award.
  • Also presented this work at Cornell CIS’s BOOM 2019 project symposium. I was awarded a Sponsor Award by Air Liquide and the Statistics Award by the Cornell’s Statistics Department.

Apr 2019

Selected among 200 student researchers worldwide to attend the 2019 Heidelberg Laureate Forum in Heidelberg, Germany. Looking forward to meet senior and fellow young researchers in Computer Science and Mathematics this September!

Will be working with ASAPP and Kilian Weinberger this summer as a Research Engineer Intern.


Academic Work

  • 2019, Jul. Conference.
    Anmol Kabra, Yexiang Xue, and Carla Gomes, “GPU-accelerated Bias Reduction in Citizen Science”. To appear at ACM COMPASS 2019, Accra, Ghana.

      For 2019 Ivy League Undergraduate Research Symposium, 2019 Cornell CIS BOOM: poster
      For 2018 Doctoral Consortium on Computational Sustainability: slides   •   poster

  • 2017, Nov. Report.
    Anmol Kabra, Kenneth Fang, and Nicholas Kaye, “A Modular Approach to Optimal Hybrid Bus Allocation for TCAT”.

    Participated in a 3-day mathematical modeling hackathon to find optimal bus allocation schemes. Wrote code for experiments and simulations, and a report.
      For Cornell Mathematical Contest in Modeling (CMCM): info   •   pdf

  • 2017, Aug. Report.
    Anmol Kabra, Yexiang Xue, and Carla Gomes, “Solving Avicaching Faster and Better”.

    Reformulated a Mixed-Integer Programming (MIP) based solution for reducing citizen bias in citizen science tasks to one compatible to fast, parallel computation GPUs. Accomplished this reformulation using machine learning tools, and wrote a report.
      info   •   pdf   •   github

  • 2013, Aug. Report.
    Aayush, Amit Parashar, Anmol Kabra, Anshumat Srivastava, Vaibhav Agarwal (equal contributions), and Ajay Kalamdhad, “Potential of Conversion of Waste to Energy in India”.

    Collaborated on a high school research project on mapping the feasibility of waste-to-energy conversion techniques in Patna. Conducted experiments to analyze energy capacity in different types of waste collected from different living environments, interned at IIT Guwahati, attended a fellowship program at IIT Kharagpur, and wrote a report.
      For 20th National Children’s Science Congress: info   •   pdf


  • 2018, April. Talk.
    Anmol Kabra. “Data Privacy, Palm Oil, and Petty Consumerism”.

    Gave a public lecture/discussion, tying together issues in internet data privacy, yield-oriented industrial agriculture, and an increasing focus on consumers together. The transcript is available as a PDF and web document.
      For PubSpeak at the Telluride House at Cornell: pdf   •   html

  • 2015, Sep. Video.
    Live video conference with Indian Prime Minister, Narendra Modi.

    Selected among 9 students from across India to interact with the Indian Prime Minister live-on-air, broadcasted on several stations. Asked him questions about mental stress due to 3-hour Indian college entrance exams and their effects on high school students.
      video   •   media — The Telegraph, India   •   media — Hindustan Times, India

On a less academic note, I like

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