Mike Powell
About Mike Powell
Mike Powell is a Senior Machine Learning Engineer at Dyno Therapeutics, specializing in MLOps and healthcare-focused AI applications. He holds a PhD in Physics from Penn State University and has extensive experience in data science and machine learning.
Title at Dyno Therapeutics
Mike Powell is currently a Senior Machine Learning Engineer at Dyno Therapeutics. In his role, he develops machine learning models to optimize gene therapies. His work involves building and implementing sophisticated algorithms designed to improve healthcare outcomes and extend human lifespan.
Previous Experience at ConcertAI
From 2021 to 2022, Mike Powell served as a Senior Data Scientist at ConcertAI, working remotely. During his tenure, he leveraged his expertise in machine learning and data science to support healthcare analytics and improvements in clinical bioinformatics.
Role at Nearly Human
Mike Powell held multiple positions at Nearly Human. Initially, he served as an Advanced Computational Scientist from 2016 to 2020. In 2020, he transitioned to the role of Lead Data Scientist until 2021. Both roles were performed remotely and involved significant work in computer vision, end-to-end pipelining, and natural language processing.
Academic and Research Background
Mike Powell earned his PhD in Physics from Penn State University, where he also completed a graduate minor in Neuroscience. He was an Undergraduate and PhD Researcher at the institution from 2011 to 2016. His strong background in physics significantly informs his approach to machine learning and data science.
Specializations and Skills
Mike Powell specializes in MLOps, focusing on integrating machine learning models into production environments. He has extensive experience in clinical bioinformatics, computer vision, end-to-end pipelining, and natural language processing. Additionally, he has contributed to open-source machine learning projects on GitHub.
AI Projects and Contributions
Mike Powell created a standalone end-to-end AI-powered search engine for an international non-profit to identify new and promising research and therapies in the longevity field. This project showcases his ability to leverage AI for significant real-world impacts, especially in healthcare.