Harshita Chopra

Harshita-Chopra

Hi! I'm a first year PhD student in Computer Science & Engineering at University of Washington, Seattle. I'm advised by Prof. Chirag Shah. My research interests span the area of AI-assisted decision making and ML for personalization.

Previously, I worked as a Research Associate at Adobe Research. I primarily collaborated with Dr. Atanu R Sinha, Dr. Sunav Choudhary and other amazing researchers from the Data-driven Systems and Document Intelligence groups. In this pre-doctoral role, I 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 (RL), constrained optimization and natural langugage processing (NLP). Recently, I also worked on LLM training & inference for digital marketing tasks.

I graduated with a BTech in Information Technology from Indraprastha University, Delhi in 2022. 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 .

For any discussions or questions, please contact me at hchopra3@cs.washington.edu


News

Sep, 2024 Starting my PhD at UW Seattle!
Jan, 2024 Promoted to Research Associate 2 at Adobe Research!
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

  1. CIKM 2023
    Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint
    H Chopra*, A R Sinha*, S Choudhary, R A Rossi, P Indela, V P Parwatala, S Paul, and A Maiti
    In 32nd ACM International Conference on Information and Knowledge Management. (acceptance rate 24%)
  2. CIKM 2023
    The Role of Unattributed Behavior Logs in Predictive User Segmentation
    A R Sinha*, H Chopra*, A Maiti, A Ganesh, S Kapoor, S Myana, and S Mahapatra
    In 32nd ACM International Conference on Information and Knowledge Management. (acceptance rate 24%)
  3. EDM 2023
    Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion Forums
    H Chopra, Y Lin, M A Samadi, J G Cavazos, R Yu, S Jaquay, and N Nixon
    In 16th International Conference on Educational Data Mining. (Best Paper Award Nominee)
  4. AIED 2022
    Modeling Student Discourse in Online Discussion Forums Using Semantic Similarity Based Topic Chains
    H Chopra, Y Lin, M A Samadi, J G Cavazos, R Yu, S Jaquay, and N Nixon
    In 23rd International Conference on Artificial Intelligence in Education. (Extended Abstract)
  5. JMIR
    Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature With Unsupervised Word Embeddings and Machine Learning: Evidence-Based Study
    R Pal, H Chopra, R Awasthi, H Bandhey, A Nagori, and T Sethi
    In Journal of Medical Internet Research 2022;24(11):e34067 (Impact Factor 7.2, Ranked Q1 in Medical Informatics)
  6. JMIR
    Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study
    H Chopra*, A Vashishtha*, R Pal, Ashima, A Tyagi, and T Sethi
    In JMIR Infodemiology 2023;3:e34315

* equal contribution

Patents

  1. USPTO
    Utilizing Digital Page Sequence Tokens With Large Language Models to Generate Digital Content Predictions
    H Chopra, A R Sinha, S Mahapatra
    US Patent Application No.: 18/829,774 (Filed)
  2. USPTO
    Data Question Answering with Auxiliary Recommendations
    IA Burhanuddin, H Chopra, A R Sinha, ... , R A Rossi, S Kim
    US Patent Application No.: 18/767,106 (Filed)
  3. USPTO
    Campaign Journey User Response Computer Simulation
    H Chopra, S Choudhary, A R Sinha, S Surange-Dev, V Holtcamp, S Nair, Z Courtois, S Bhat
    US Patent Application No.: 18/777,311 (Filed)
  4. USPTO
    Clustering Users According to Causal Relationships Among User Data
    V Porwal, H Chopra, A R Sinha, S K Modanwal, C N Reddy, Z Niaz
    US Patent Application No.: 18/609,625 (Filed)
  5. USPTO
    Segment Discovery and Channel Delivery
    S Choudhary, A R Sinha, H Chopra, R A Rossi, V P Parwatala, P Indela, S Paul, S Guo
    US Patent Application No.: 18/543,666 (Filed)
  6. USPTO
    Delivery Aware Audience Segmentation
    A R Sinha, R A Rossi, S Choudhary, H Chopra, P Indela, V P Parwatala, S Paul, S Mahapatra, A Maiti
    US Patent Application No.: 18/451,590 (Filed)
  7. USPTO
    Generating Segments of Users Based on Unobserved Behaviors
    A Maiti, A R Sinha, H Chopra, S Kapoor, A Ganesh, S Myana, S Mahapatra
    US Patent Application No.: 17/660,544 (Filed)
  8. USPTO
    Systems and Methods for Content Customization
    A R Sinha, A Maiti, A Ganesh, H Chopra, S Myana, S Kapoor, S Mahapatra
    US Patent Application No.: 17/813,622 (Filed)