Roshni G. Iyer Final Year Ph.D. Candidate Department of Computer Science University of California, Los Angeles Advisors: Prof. Yizhou Sun and Prof. Wei Wang E-mail: roshnigiyer[at]cs.ucla.edu

Biography

I am a Final Year Ph.D. Candidate in the Dept. of Computer Science at the University of California, Los Angeles (UCLA), working with Prof. Yizhou Sun and Prof. Wei Wang. Before joining UCLA as a Ph.D. student, I received my Bachelor's degree in Computer Science from the University of California, Berkeley, where I worked with Prof. John DeNero and Prof. David Weisblat.

My research interest lies in the intersection of machine learning and data mining, where I develop recommender systems for heterogeneous information networks. My research is generously supported by Amazon and NSF PhD Fellowship. In 2023, I was also named as an Amazon Fellow. Additionally, I serve as President of UCLA's Computer Science Graduate Student Association (CS-GSA).

Research Interests

My research interests include graph neural networks, knowledge graphs, generative/conversational AI, and social networks.

Selected Publications

• Graph-based Molecular Representation Learning

  • Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, and Nitesh V. Chawla

  • the 32st International Joint Conference on Artificial Intelligence (IJCAI 2023)

• Question-Answer Sentence Graph for Joint Modeling Answer Selection

  • Roshni G. Iyer, Thuy Vu, Alessandro Moschitti, and Yizhou Sun

  • the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023)

• Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs

  • Roshni G. Iyer, Yunsheng Bai, Wei Wang, and Yizhou Sun

  • the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2022)

• Bi-Level Attention Graph Neural Networks

  • Roshni G. Iyer, Wei Wang, and Yizhou Sun

  • the 21st IEEE International Conference on Data Mining (ICDM 2021)

• Hierarchical Attention Models for Multi-Relational Graphs

  • Roshni G. Iyer, Wei Wang, and Yizhou Sun

  • the 2nd International Workshop on Deep Learning on Graphs: Methods and Applications (KDD-DLG 2020)

• Bi-Level Attention Neural Architectures for Relational Data

  • Roshni G. Iyer, Wei Wang, and Yizhou Sun

  • the 37th International Workshop on Graph Representation Learning and Beyond (ICML-GRL+ 2020)

• Software Language Comprehension using a Program-Derived Semantic Graph

  • Roshni G. Iyer, Yizhou Sun, Wei Wang, and Justin Gottschlich

  • the 36th International Workshop on Computer-Assisted Programming (NeurIPS-CAP 2020)

Recent Work Experience

• Ph.D. Researcher (09/2019--present | Los Angeles, CA)

• UCLA Data Mining Lab at the Scalable Anaytics Institute (ScAi) (09/2019--present)

• NSF Center for Computer Assisted Synthesis (C-CAS) (09/2022--present)

• Topic: R&D in modeling knowledge graphs, social networks, building QA systems, and developing GNNs for various applications

• Amazon.com, Inc.; Applied Scientist Intern (06/2023--09/2023 | Santa Barbara, CA)

• Team: Alexa AI

• Topic: R&D in temporal QA models for generative AI application using knowledge graphs

• Amazon.com, Inc.; Applied Scientist Intern (05/2022--01/2023 | Manhattan Beach, CA)

• Team: Alexa AI

• Topic: R&D in open-domain QA models for conversational AI application using graph-based relational learning (cont.)

• Amazon.com, Inc.; Applied Scientist Intern (06/2021--12/2021 | Manhattan Beach, CA)

• Team: Alexa AI

• Topic: R&D in open-domain QA models for conversational AI application using graph-based relational learning

• Intel Corporation; Research Scientist Intern (06/2020--09/2020 | Santa Clara, CA)

• Team: Intel Labs

• Topic: Research in machine programming (MP), with emphasis on graph representation learning

• BlackRock, Inc.; Software Engineering Intern (05/2018--08/2018 | San Francisco, CA)

  • Project: Developed an event-driven investment workflow system (IWS) to process millions of real-time transactions

Honors and Awards

• Amazon Fellow (one of eleven recipients of the Amazon PhD Fellowship). 2023
• UCLA Outstanding Mentorship Award. 2023
• KDD 2022 Student Travel Award (funded by NSF and ACM SIGKDD). 2022
• ICDM 2021 Student Attendance Award (funded by NSF and IEEE ICDM). 2021
• UCLA NSF PhD Fellowship. 2019-2021
• Intel Distinguished Invention Award. 2020
• Co-inventor of three Intel MP patents (U.S. patents filed, App. #: 20210182031, 20210117807, 20210073632). 2020-2021
• KDD 2020 Student Travel Award (funded by NSF and ACM SIGKDD). 2020
• Cadence Women in Technology Scholarship. 2018
• CS Scholars Program, EECS Department, UC Berkeley. 2015-2019

Organizations

• [UCLA] CS Graduate Student Body President (UCLA Computer Science Graduate Student Association)
• [UCLA] Program Mentor for AI Breakthrough Tech (UCLA)
  • initiative founded by Melinda Gates Foundation to propel women and underrepresented communities into tech degrees & careers
• [UC Berkeley] Outreach Committee Coordinator for UC Berkeley Society of Women Engineers

Professional Services

• KDD 2023 Registration Co-Chair
• ACM TWEB Distinguished Review Board Member
• CIKM Senior PC member
• PC member & reviewer:
  • KDD (Research & ADS Tracks), NeurIPS, ICML, AAAI, ICLR, WWW, LoG, EMNLP, ACL