Summary
Tom Alisch is a Machine Learning Engineer and Member of Technical Staff in Cambridge with nine years of experience bridging neuroscience research and production AI systems. He holds a PhD in Neurobiology from Harvard and an M.Sc. in Cognitive Neuroscience, and transitioned academic expertise in statistical modeling of large, unstructured biological time series into building AI agent evaluation and RAG benchmarking platforms. At Conscium he designed automated LLM-based scoring, multimodal document QA, and alignment metrics to quantify how agent behavior maps to user value profiles, and now applies that work in stealth product development. He combines deep quantitative rigor—developed through multi-year dissertation projects predicting decision-making in Drosophila—with practical cloud deployment experience on Google Cloud, making him adept at turning complex experimental workflows into scalable ML products.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Neurobiology and Neurosciences, Doctor of Philosophy - PhD, Neurobiology and Neurosciences at Harvard University
Master’s Degree, Behavioral and Cognitive Neuroscience, Master’s Degree, Behavioral and Cognitive Neuroscience at University of Groningen