News

Jun, 2026 My first-named-inventor patent Query System using Multiple AI Agents for Text-to-SQL and Text-to-Python was granted (No. 12,645,672 B2). This was filed during my internship at Zscaler in 2024.
May, 2026 I will be presenting Flow Matching for Multimodal Distributions at CVPR 2026 in Denver (June 6 Saturday 16:45 Exhibit Hall A #170). Happy to connect for casual chat onsite! [Click Calendar].
May, 2026 One paper got accepted to ICML 2026 Agents in the Wild: Safety, Security, and Beyond Workshop!
May, 2026 I will john Adobe Research as an research scientist intern this summer in the bay area, always happy to connect for coffee chats, hackathons, AI meetups — or weekend adventures and dog play dates!
Mar, 2026 Thanks for the Tinker Research grants for our selective prediction alignment project!
Feb, 2026 The qualitative study of our open-access tool MetaMate has been accepted to CHI 2026 (Poster)!
Dec, 2025 I led a team of 4 and won the AgentDS Hackathon overall 1st place 🥇!
Sep, 2025 Thanks to Synthesis Company (YC S24) for supporting server hosting for MetaMate!
Aug, 2025 Our paper COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier accepted to the EMNLP 2025 main conference!
May, 2025 Formally admitted to Ph.D. candidacy!
Feb, 2025 A paper accepted to the Journal of Neurosurgery!
Feb, 2025 A paper accepted to CHI 2025!
Dec, 2024 Awarded DSI-MnDRIVE PhD Fund for 2025-2026 for LLM uncertainty research!
Nov, 2024 Our paper Enabling Visual Recognition at Radio Frequency will appear at MobiCom 2024!
Jul, 2024 Our application on LLM-empowered data extraction for educational systematic reviews and meta-analyses got accepted to OpenAI’s Researcher Access Program!
May, 2024 My wife and I release an open-access tool MetaMate to streamline the data extraction process for educational systematic reviews and meta-analyses!
Mar, 2024 Our paper An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing for Information Extraction has been accepted to npj Digital Medicine!
Aug, 2023 Our paper Rethinking Transfer Learning for Medical Image Classification has been accepted to BMVC 2023 (oral)!
Jul, 2023 Our paper Ability of Artificial Intelligence to Identify Self-Reported Race in Chest X-Ray Using Pixel Intensity Counts has been accepted to Journal of Medical Imaging (JMI)!
Sep, 2022 Our paper Evaluation of Federated Learning Variations for COVID-19 Diagnosis Using Chest Radiographs from 42 US and European Hospitals accepted to Journal of the American Medical Informatics Association (JAMIA)!
Aug, 2022 Here is a Cisco blog and my exit presentation for my internship at Cisco Research working on Federated Learning.
May, 2022 Our paper SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data accepted to ACM SIGKDD 2022!
Sep, 2021 I’m selected to CS Research Mentorship Program (CSRMP) at Google Research!
Sep, 2021 Our Federated Learning use case was highlighted in Nvidia Clara White Paper.