Theodore Sumers is a research-driven software engineer and Member of Technical Staff at Anthropic with a decade of experience at the intersection of ML, cognitive science, and systems engineering. He holds a PhD in Cognitive Science from Princeton and has led applied research projects at DeepMind and Uber, building vision-language models for embodied agents and sensor-driven inference systems used to detect real-world events. Theodore blends theoretical rigor—optimal decision-making under perceptual and resource constraints—with production-focused delivery, having founded and managed ML engineering teams that shipped safety- and signal-processing products. He advised early-stage startups during his PhD and has hands-on firmware and data-science roots from Automotive and embedded systems work, reflecting a rare mix of low-level systems experience and modern ML research. Colleagues describe him as someone who treats statistics and Zen as complementary tools for managing uncertainty, and who designs models with practical inductive biases inspired by human learning.
9 years of coding experience
7 years of employment as a software developer
Horace Mann School
AB and BE, Electrical Engineering, AB and BE, Electrical Engineering at Dartmouth College
PhD, Cognitive Science, PhD, Cognitive Science at Princeton University
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Theodore Sumers - Member Of Technical Staff at Anthropic