Chandler Squires is a postdoctoral research associate at Carnegie Mellon University with 11 years of experience bridging statistics, computer science, and machine learning to advance pragmatic data science. He completed a PhD in EECS at MIT under Caroline Uhler and David Sontag and focuses on theory and methods that translate to applications in biology, healthcare, and drug discovery. His work blends causality and representation learning with practical modeling needs, informed by industry experience as a data scientist at nference. Based in Pittsburgh, he combines rigorous theoretical foundations with hands-on experimental and applied research, often seeking solutions that work under real-world constraints.
11 years of coding experience
7 years of employment as a software developer
Bachelor's Degree, Computer Science and Electrical Engineering, Senior, Bachelor's Degree, Computer Science and Electrical Engineering, Senior at Massachusetts Institute of Technology
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