Yu Cao

Energizer
DISC Type : I

Quantitative Research Engineer/Senior Software Engineer at Bloomberg LP

New York, New York, United States

Overview

Yu Cao is a Research Engineer and Senior Software Engineer at Bloomberg, where he focuses on developing pricing algorithms and software systems for fixed-income security products. He holds a Masters degree from New York University and has a deep background in machine vision, deep learning, and distributed systems.

While highly technical, Yu has an interest in applying complex analytical frameworks to diverse problems. He once co-developed a mathematical model applying the Analytic Hierarchy Process to determine the "best all time college coach, " for which he received an honorable mention in a US modeling contest.

He was part of a team that won the Atomic Video Action Recognition challenge at the CVPR 2018 conference.

Personality Overview

Big Picture Person

Relationship Oriented

Imaginative

They are naturally enthusiastic, so take their promise with a pinch of salt.  They excel at seeing the bigger picture, and the long-term impact of their decisions. They are not always early adopters but can be pursuaded by leveraging strong relationships.

Topics They Care About

Fixed-Income Pricing
His current role at Bloomberg involves developing pricing algorithms and software systems for fixed-income security products.
Video Action Recognition
As an algorithm designer, he was a key member of the team that won first place in the CVPR 2018 Atomic Video Action Recognition challenge.
GPU Resource Scheduling
At ByteDance, he researched scheduling algorithms like Monte Carlo Tree Search to optimize GPU resource allocation for DNN inference services, saving significant resources.

Media Appearances

Yu has no verified media appearances

Work History

2-2022
Quantitative Research Engineer/Senior Software Engineer at Bloomberg LP
5-2021 - 8-2021
Research Intern at ByteDance
9-2019 - 12-2019
Teaching Assistant at New York University
5-2019 - 8-2019
Applied Scientist Intern at Amazon Web Services (AWS)
11-2017 - 6-2018
Research Intern at 旷视MEGVII

Education

2018 - 2021
Master of Science - MS from New York University
2015 - 2017
Master’s Degree from Beihang University

More Information

Social Presence :

Prographics :

Exp : 5 Location : New York, New York, United States Job Level : N/A Designation : Quantitative Research Engineer/Senior Software Engineer at Bloomberg LP
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Insights For Selling To Yu

During A Call Or A Meeting

DO's

  • Talk about their team and how your product will help them do things better and easier
  • Be friendly and entertaining in your conversation
  • Speak enthusiastically with energy, maintain a clear and confident tone

DONT's

  • Avoid overloading them with too much detail
  • Don’t be excessively objective, be a storyteller
  • Don’t push them to make a decision too fast, let them get comfortable first

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Yu is

  • Relationship and trust can be vital with them, sometimes more than anything else.
  • Will you ever get a clear answer from Yu

  • They are unlikely to say no directly, you have to make that decision yourself.

Insights For Deal Planning

    How fast (or slow) will Yu move?

  • They are not the fastest decision makers, their friendly approach can give false positive signals.
  • Can Yu take some risk or not?

  • They may take certain risks that they deem unlikely of personal repercussions.

You And Yu

Personality Compatibility


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