Stephen Malina
About Stephen Malina
Stephen Malina is the Head of Engineering at Dyno Therapeutics in New York, with a background in software engineering and computational biology.
Current Role at Dyno Therapeutics
Stephen Malina is currently serving as the Head Of Engineering at Dyno Therapeutics, based in New York, New York, United States. In this role, he oversees engineering initiatives and leads technical innovations crucial to the company's advancements in therapeutic development. His leadership is central to driving the engineering team's focus on cutting-edge solutions.
Previous Roles at Dyno Therapeutics
Before his current position, Stephen Malina held multiple roles at Dyno Therapeutics. From 2021 to 2023, he served as the Principal Scientist and Machine-Guided Design Team Lead, leading efforts in innovative therapeutic development. He also contributed as a Data Science Intern in 2020, working on data science projects pivotal to the company's objectives during his two-month internship.
Work Experience at Uber
Stephen Malina worked as a Senior Software Engineer at Uber from 2018 to 2019 in the Greater New York City Area. During his tenure, he focused on developing and enhancing ride-sharing algorithms. His role involved improving infrastructure and backend systems to optimize Uber's platform.
Tenure at Compass
From 2015 to 2018, Stephen Malina was a Senior Software Engineer at Compass, where he contributed to various software development projects. He initially joined Compass as a Software Engineering Intern in 2014, gaining valuable experience in the Greater New York City Area. During his three-year tenure as a Senior Engineer, he played a significant role in developing Compass’s software solutions.
Education and Research Background
Stephen Malina graduated from Columbia University with a Master of Science in Computer Science from 2019 to 2020. His master’s research focused on machine learning applications for genomics. Prior to that, he earned a Bachelor's degree in Computer Science from Dartmouth College, completing his studies from 2011 to 2015. Additionally, he served as a Graduate Research Assistant at Knowles Lab from 2019 to 2021, contributing to computational biology research.