Srinivasan Sivanandan in

Srinivasan Sivanandan

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Staff Machine Learning Scientist at insitro
📍 United States

Srinivasan Sivanandan is a Staff Machine Learning Scientist at insitro, specializing in computer vision and representation learning for drug discovery. His background includes developing key medical imaging algorithms for Samsungs ultrasound devices. Colleagues describe him as talented, enthusiastic, and a role model engineer with strong work ethics.

Outside of his core research, Srinivasan has shown a commitment to education, having served as a Graduate Teaching Assistant for several computer science courses at the University of Toronto. He also contributed to the web development team for Kshitij, a large techno-management fest during his university years.

He was a key contributor to the 5D Follicle and LaborAssist algorithms that are used in commercial Samsung Ultrasound devices.

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Experience
8 Years
Current Role
Staff Machine Learning Scientist
Location
United States
Personality Overview

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Priorities

Topics Srinivasan cares about

ML in Drug Discovery
His current role and stated passion is building machine learning algorithms for high-throughput screening and target discovery in healthcare.
Computer Vision
He has deep expertise in computer vision, from developing algorithms for medical imaging at Samsung to his current work at insitro.
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Career

Work history

9-2024
Staff Machine Learning Scientist
insitro
8-2022 - 9-2024
Senior Machine Learning Scientist
insitro
2-2021 - 8-2022
Machine Learning Lead Engineer
insitro
9-2018 - 4-2019
Graduate Teaching Assistant
University of Toronto
2-2018 - 8-2018
Lead Engineer
Samsung Electronics
In the press

Media appearances

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Education
2018 - 2019
MSc in Applied Computing
Department of Computer Science, University of Toronto
2011 - 2016
Dual Degree (B.Tech + M.Tech)
Indian Institute of Technology, Kharagpur
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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