Michael Alonge
About Michael Alonge
Michael Alonge serves as the Lead Computational Biologist at Ohalo Genetics, leveraging his extensive background in computational biology and bioengineering. He holds a PhD from Johns Hopkins University and has previously worked at notable institutions including Driscoll's and UC Santa Cruz.
Current Position at Ohalo Genetics
Michael Alonge serves as the Lead Computational Biologist at Ohalo Genetics, a position he has held since 2021. In this role, he applies his expertise in computational biology to advance the company's research initiatives. His work focuses on integrating computational techniques with biological data to support genetic research and innovation. Alonge's experience in the field enables him to contribute effectively to Ohalo's objectives in genetic analysis and data interpretation.
Education and Expertise
Michael Alonge earned his Doctor of Philosophy (PhD) in Computer Science from the Johns Hopkins Whiting School of Engineering, where he studied from 2017 to 2021. Prior to this, he completed a Bachelor of Science in Bioengineering (Molecular) at the University of California, Santa Cruz, from 2009 to 2014. His educational background provides a strong foundation in both computational methods and biological sciences, equipping him with the skills necessary for his current role in computational biology.
Professional Background
Michael Alonge has a diverse professional background in computational biology. He began his career at UC Santa Cruz, where he held various positions, including Work Tech Crew Member and Resident Advisor. He transitioned to Driscoll's, where he worked as a Molecular Biology Lab Technician and later as a Research Associate I and II in Computational Biology. His experience spans multiple locations, including a move from California to Maryland, reflecting his adaptability in the field.
Research Contributions and Publications
Michael Alonge has a Google Scholar profile that highlights his involvement in academic research and publications. This platform showcases his contributions to the field of computational biology, including various projects and studies he has undertaken. Additionally, he maintains a GitHub profile where he shares his computational biology projects and code, further demonstrating his commitment to advancing knowledge and collaboration in the scientific community.