Suhas Thejaswi is a researcher and algorithm designer with 11 years of experience, currently based at Aalto University after a postdoctoral stint at the Max Planck Institute for Software Systems. His work focuses on scalable algorithms with provable guarantees for societal challenges—ranging from epidemic modeling to fair variants of unsupervised learning like clustering and feature selection. He combines theoretical rigor with applied concern for responsible automated decision-making, aiming to mitigate bias and discrimination through design choices. Lately he has explored human-AI complementarity, building decision-support systems that help humans and algorithms perform better together. Trained with a Doctor of Science in Computer Science from Aalto, he blends academic depth with prior industry engineering experience at Nokia, Motorola, and Wipro.
11 years of coding experience
14 years of employment as a software developer
Doctor of Science Computer Science, Doctor of Science Computer Science at Aalto University
Bachelor's Degree Computer Science and Engineering, Bachelor's Degree Computer Science and Engineering at Visvesvaraya Technological University
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