Harshita Chopra
Hi, I am Harshita. I'm currently working as a Pre-doctoral Research Associate at Adobe Research. I graduated with a BTech in Information Technology from Indraprastha University, Delhi in 2022. My research interests span the area of machine learning, user modeling and data-driven decision making.
At Adobe, I primarily work with Dr. Atanu R Sinha and researchers from the Systems and Insights Group. I have focused on challenges arising from user heterogeneity, partially observed behaviors and budget-constrained maximization of reach on digital platforms. My projects involve working with deep learning, actor-critic algorithms, constrained optimization and natural langugage processing. During my undergraduate study, I contributed to research at the intersection of ML and Healthcare at IIIT Delhi, under the supervision of Prof. Tavpritesh Sethi. I also spent a year working on a research project under the supervision of Prof. Nia Nixon on AI for education at UC Irvine .
If you have any ideas to discuss or any question about my work, please contact me at harshitachopra3@gmail.com
News
Jan, 2024 | Promoted to Research Associate 2 at Adobe Research! |
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Oct, 2023 | Going to attend CIKM 2023 in Birmingham, UK. |
Jul, 2023 | Two papers accepted at CIKM 2023 - check out here and here |
Jul, 2022 | Starting as a Research Associate at Adobe Research, India |
Jun, 2022 | Graduated with a GPA of 9.01/10 and Department Rank 1 in the final semester! |
May, 2021 | Starting as a Research Intern at Adobe Research's BigData Experience Lab |
Publications
* equal contribution
Patents
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USPTOClustering Users According to Causal Relationships Among User DataUS Patent Application No.: 18/609,625 (Filed)
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USPTOSegment Discovery and Channel DeliveryUS Patent Application No.: 18/543,666 (Filed)
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USPTODelivery Aware Audience SegmentationUS Patent Application No.: 18/451,590 (Filed)
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USPTOGenerating Segments of Users Based on Unobserved BehaviorsUS Patent Application No.: 17/660,544 (Filed)
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USPTOSystems and Methods for Content CustomizationUS Patent Application No.: 17/813,622 (Filed)