## Anmol Kabra

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 (ACSU).

$\forall\;h\;\in\text{ Humans on }$$\text{planet Earth, }$$\;\exists\text{ worlds }W=\{$ $\text{real}$$,$ $\text{virtual }$$\}\text{ and modes }M=\{$ $\text{in}$$,$ $\text{out }$$\}$
For all humans on planet Earth, there exists two worlds — real and virtual — and two modes — in and out.

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Personal

• CV, Resume

CV and Resume are more up to date than LinkedIn.

• 2018, Sep. Conference.
Anmol Kabra, Yexiang Xue & Carla Gomes, “GPU-accelerated Bias Reduction in Citizen Science”. For 2018 Doctoral Consortium on Computational Sustainability.

Presented a lightning talk and poster at the 3-day consortium for Computational Sustainability graduate and undergraduate researchers.
slides   •   poster

• 2017, Nov. Report.
Anmol Kabra, Kenneth Fang & Nicholas Kaye, “A Modular Approach to Optimal Hybrid Bus Allocation for TCAT”. For Cornell Mathematical Contest in Modeling (CMCM).

Participated in a 3-day mathematical modeling hackathon to find optimal bus allocation schemes. Wrote code for experiments and simulations, and a report.
info   •   pdf

• 2017, Aug. Report.
Anmol Kabra, Yexiang Xue & 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) & Ajay Kalamdhad, “Potential of Conversion of Waste to Energy in India”. For 20th National Children’s Science Congress.

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.
info   •   pdf

Miscellaneous

• 2018, April. Transcript.
Anmol Kabra. “Data Privacy, Palm Oil, and Petty Consumerism”. For PubSpeak at the Telluride House at Cornell.

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.
pdf   •   web

• 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

Briefs

##### Interests

My interests often change with time. Back in high school, I was inclined more towards Chemistry, but now I don't like it as much. However, my proximity to a Computer Science education has dramatically increased since graduating from high school.

I'm currently interested in solving real-life sustainability problems using Machine Learning and Optimization. These interests might concentrate or diverge with time.

My research experience during summer 2017, which continues now, got me interested in the field of Computational Sustainability, where computers solve our sustainability problems. I appreciate the capability of Computer Science and Sustainability to mutually advance by collaboration:

• Sustainability can provide Computer Science with concrete problems that lead to new but general algorithms and concepts, and
• Computer Science can support Sustainable Development through the former's emphasis on scalable and mathematically motivated models.

##### On a less academic note, I like

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