Alec Solway
About Alec Solway
Alec Solway is a Lead Computational Scientist at Two Six Technologies, with extensive experience in computational neuroscience and machine learning. He previously held academic positions at the University of Maryland and Virginia Tech, and has a strong background in programming and database management.
Current Role at Two Six Technologies
Alec Solway serves as the Lead Computational Scientist at Two Six Technologies, a position he has held since 2023. In this role, he applies his expertise in computational science to various projects, contributing to advancements in technology and research. His work involves leveraging his extensive programming skills and knowledge of machine learning to develop innovative solutions.
Previous Academic Positions
Before joining Two Six Technologies, Alec Solway was a Tenure-track Assistant Professor at the University of Maryland from 2018 to 2023. He also worked as a Postdoctoral Fellow and Research Associate at the Virginia Tech Carilion School of Medicine and Research Institute from 2014 to 2018. His academic background includes significant research contributions and teaching responsibilities.
Educational Background
Alec Solway earned his Doctor of Philosophy (PhD) in Computational Neuroscience from Princeton University, where he studied from 2009 to 2014. Prior to that, he obtained a Bachelor's degree in Computer Science from the University at Buffalo in 2007 and a Master's degree in Computer Science from the University of Pennsylvania in 2009. His education has provided a strong foundation for his research and professional endeavors.
Technical Skills and Expertise
Alec Solway has extensive programming experience in multiple languages, including Python, R, Matlab, C, C++, Java, PHP, and JavaScript. He is proficient in both SQL and NoSQL databases, including MongoDB. His areas of expertise encompass reinforcement learning, deep learning with a focus on reinforcement learning and natural language processing (NLP), Bayesian modeling, and time-frequency analysis.
Research Contributions and Projects
Throughout his career, Alec Solway has developed computational models of behavior and applied machine learning methods to neural data. His research has focused on advancing the understanding of computational neuroscience and the application of machine learning techniques in this field. He began programming in 5th grade, creating text and audio-based games with QBasic, which laid the groundwork for his future endeavors in technology and research.