Varun Tekur
About Varun Tekur
Varun Tekur is a machine learning scientist with a strong background in computer science, having studied at Harvard University. He has held various engineering and research positions at notable organizations, including Snorkel AI and Harvard Medical School.
Current Role at Nabla Bio
Varun Tekur is currently employed as a Machine Learning Scientist at Nabla Bio, Inc. since 2024. His role involves applying machine learning techniques to advance the company's goals in the biotechnology sector. Nabla Bio focuses on leveraging data science to enhance drug discovery and development processes.
Education and Expertise
Varun Tekur studied at Harvard University, where he earned both a Bachelor of Arts and a Master of Science in Computer Science. His academic tenure spanned from 2018 to 2022 for the undergraduate degree and from 2020 to 2022 for the graduate degree. This educational background provides him with a solid foundation in computer science principles and practices, particularly in machine learning.
Previous Work Experience
Varun Tekur has accumulated diverse experience in software engineering and machine learning research. He has worked at various organizations, including OpenEye Scientific Software, Inc., Harvard John A. Paulson School of Engineering and Applied Sciences, and Harvard Medical School. His roles included software engineering internships and a teaching fellowship, contributing to his practical knowledge in the field.
Internship Experience
Throughout his career, Varun Tekur has completed multiple internships that have enriched his skills in software engineering. Notable internships include positions at Facebook, Skydio, and HourWork, where he gained hands-on experience in software development and engineering practices. These internships were instrumental in shaping his career trajectory.
High School Education
Varun Tekur attended Framingham High School from 2014 to 2018. His high school education laid the groundwork for his future studies in computer science and his subsequent career in technology and machine learning.