Contact

Website: adamklie.notion.site Email: [email protected] LinkedIn: linkedin.com/in/adam-klie-9982a3124/ GitHub: github.com/adamklie

I develop and apply machine learning to genomics data. I’m particularly interested in using deep learning to predict and design functional DNA regulatory elements and to establish connections between gene regulatory networks, cellular programs and cellular phenotypes.

Education

Ph.D. in Bioinformatics and Systems Biology (BISB)

University of California, San Diego, La Jolla, CA (2019 – Present) Advisor: Dr. Hannah Carter, GPA: 4.00/4.00

B.S. in Bioengineering: Bioinformatics

University of California, San Diego, La Jolla, CA (2013 – 2017)

Summa Cum Laude, GPA: 4.00/4.00

Research Experience

Ph.D. Student

Carter Lab, University of California, San Diego, La Jolla, CA – (Jul 2020 - Present)

• Project: “Interpreting variation in the regulatory genome with machine learning”
• Supervisor: Dr. Hannah Carter

Visiting Student Researcher