Srinivasan Sivanandan

Critic
DISC Type : C

Staff Machine Learning Scientist at insitro

United States

Overview

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.

Personality Overview

Negotiator

Precise

Objective Thinker

They choose to analyze logically and value facts to emotions.  It is very likely that they will negotiate pricing or other important terms. They like to do things independently and don’t look for support from others.

Topics They Care 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.
Medical Imaging
As a former Lead Engineer at Samsung, he designed and developed several algorithms for Ob/Gyn focused ultrasound applications and co-authored related publications.

Media Appearances

Srinivasan has no verified media appearances

Work History

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

Education

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

More Information

Social Presence :

Prographics :

Exp : 8 Location : United States Job Level : N/A Designation : Staff Machine Learning Scientist at insitro
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Insights For Selling To Srinivasan

During A Call Or A Meeting

DO's

  • Use phrases like ‘expect X% improvement’, ‘data clearly shows’ etc.
  • Don’t forget to mention how you compare to competition on both features and pricing
  • Be formal and objective, they will appreciate it more

DONT's

  • Don't give superficial answers, they are easily rattled by them
  • Don’t rush them till they have clearly gotten all the necessary information
  • Do not use very emotional or colorful language

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Srinivasan is

  • Proven ROI, pricing and objective proof points are the factors that sway their decision.
  • Will you ever get a clear answer from Srinivasan

  • They are comfortable saying no if they are convinced that it is the correct decision.

Insights For Deal Planning

    How fast (or slow) will Srinivasan move?

  • Their decision-making is neither very fast nor very slow, they are somewhere in between.
  • Can Srinivasan take some risk or not?

  • They can take risks if their analysis shows that it would be worth it.

You And Srinivasan

Personality Compatibility


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