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🧑🏾🤝🧑🏼 Leadership, Activities, Service
🏆 Awards, Fellowship, Certifications
In an extremely fast-paced world where lines between jobs and roles are getting blurred due to the advancements in AI, my work identity is not confined to a single job title.
Rather, I would like to call myself a “Impactologist”, a person who researches, analyzes, evaluates, and builds to generate positive impact and value for others and society.
In particular, I contemplate over how AI and technology can be used responsible for social good and especially for empowering vulnerable and marginalized populations.
Currently, I am a 4th year PhD Candidate in Informatics at University of California, Irvine, advised by Dr. Kai Zheng. Aiming to graduate by 2027 Spring or Summer!
🖥️ Research Experience & Projects
Agentic AI Workflows in various aspects of my life and work
🙍🏻♂️🧐 User experience and Products (UX Research, Product Management Projects)
📊 Data Science & Analytics Projects
⬇️ Experience Below!
Irvine, CA | Jun 2025 - Present
∙ Drafts Non-Confidential Disclosure (NCD) documents describing invention essentials, novelty and importance, identifies key companies and potential licensees aligned with the IP and conduct value chain analysis at the Research Translation Group.
Boston, MA (remote) | Jun – Sep 2023
∙ Improved internal Knowledge Base (KB) discovery and usability by conducting user research with 23 employees through surveys, interviews, and focus groups, then translating insights into Figma prototypes and SharePoint design/content updates. ∙ Reduced average search time by 37% and increased KB usage by 21.3% within 3 months by implementing a Microsoft Copilot-powered chat-bot in SharePoint using Power Automate and improving KB navigation. ∙ Strengthened organizational knowledge-sharing infrastructure by building a shared Zotero bibliography system for employees to reuse references across grant proposals, research reports, and presentations.
Ann Arbor, MI | Jul 2020 – Jun 2022
∙ Improved criminal justice data processing and quality control by developing Python/Stata ETL and automated validation pipelines for 150M+ criminal justice records and 90M+ inmate records, reducing manual QC time by 47% and identifying 13.8% more previously undetected data quality issues. ∙ Enabled scalable reporting on justice-related outcomes by writing SQL queries within a Django reporting system that produced recidivism, health, and labor statistics from the first U.S.-wide criminal justice database built by the lab. ∙ Supported the development of the Justice Outcome Explorer dashboard by transforming large-scale criminal justice data into report-ready outcome metrics for public-facing analysis and exploration.
New York, NY | Jun – Aug 2019
∙ Improved Spotify Wrapped Mobile Web Player performance by partnering with a senior data scientist to design and analyze A/B tests, informing design changes that increased feature completion rates by 7.2%. ∙ Generated user behavior insights by conducting cohort analyses to better understand engagement patterns, user needs, and opportunities for product improvement. ∙ Reduced affected daily active users from 14.8% to 9.2% by applying anomaly detection to identify deep link errors and presenting solutions that improved campaign reliability.