Experience

MD.ai

• United States
• Software Development
• 1 - 100 Employee

• AI Intern

  • Jun 2023 - Present



New York Genome Center

• United States
• Biotechnology
• 100 - 200 Employee

• Machine Learning Engineer

  • Jan 2023 - Present

  I focus on building datasets, analyzing phenotype data, and utilizing unsupervised learning techniques to cluster patients with mental disorders on the All of Us research platform. Our team plan to incorporate genomic analysis as the next step. I focus on building datasets, analyzing phenotype data, and utilizing unsupervised learning techniques to cluster patients with mental disorders on the All of Us research platform. Our team plan to incorporate genomic analysis as the next step.



Emory University

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Research Fellow in ML

  • May 2021 - Aug 2022

  I was supported by Emory University to utilize my research work to increase student data availability, which strengthens further data analytics tasks and ultimately turns into solid course selection advice for new students in CS major. Key Achievements :- - Researched, experimented, and selected valuable synthetic data generation models that are applicable to student data synthesis, from other sensitive areas. - Conducted Individual research in exploring the capability, parameters, and adjustments of the DataSynthesizer tool, incorporated self-developed data transformation algorithms to solve the severe low-accuracy issue. - Set up a system of evaluation strategies, which contains graph visualizations, standard quantitative statistics, context-specific sequence and non-sequence statistics, and privacy evaluation metrics. Show less



Emory University

• United States
• Higher Education
• 700 & Above Employee

• Research Assistant in Computer Network

  • Sep 2020 - Dec 2020

  I conducted a research project in mobile crowdsensing with Dr.Ting Li in Emory University, where we explored the quantitative relationship between the cost of post rewards and sensing task quality and how data recovery algorithms could shape this optimization issue in a mobile sensing network. I conducted a research project in mobile crowdsensing with Dr.Ting Li in Emory University, where we explored the quantitative relationship between the cost of post rewards and sensing task quality and how data recovery algorithms could shape this optimization issue in a mobile sensing network.