Shida Liu: Email & Phone Number

Undergraduate Researcher - Mathematical and Scientific Machine Learning at Harvard John A. Paulson School of Engineering|Cambridge, Massachusetts, United States

Position:

Undergraduate Researcher - Mathematical and Scientific Machine Learning at Harvard John A. Paulson School of Engineering

Location:

Cambridge, Massachusetts, United States

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Last updated: 2026-09-12

Updated: 2026-09-12

Found email addresses for Shida Liu:

Business emails:

l******a@harvard.edu

Personal emails:

a*********u@college.harvard.edu,

a****u@harvard.edu

Found phones for Shida Liu:

+1-323-***-**16,

+1-205-***-**81,

+1-623-***-**35

Prospect analytics

Current work details

DepartmentHigher Education

Availability

TimezoneEDT

Best time to contact12:00 PM – 4:00 PM

A different Shida Liu?

Work Experience 5 years

Undergraduate Researcher - Mathematical and Scientific Machine Learning at Harvard John A. Paulson School of Engineering

Jun 2025 - Current

Machine Learning Engineer at MatrixCell

Jun 2026 - Jun 2026

Algorithm Engineer at Huaneng Guicheng Trust Corp.,Ltd.

Dec 2023 - Jun 2024

Keynote Speaker at CGTN

May 2022 - Aug 2022

Quantitative Researcher at Beijing Institute of Technology

Feb 2021 - Jun 2021

Shida Liu started working in 2021, then the employee has changed 4 companies and 4 jobs. On average, Shida Liu works for one company for 6 months.

Shida is proficient in Chinese, English, and German. Their professional focus is Algo, Applied Mathematics, and Broadcast Television across 3 core areas.

Education

Bachelor of Arts (A.B.) at Harvard University

Frequently Asked Questions

What is Shida Liu's email address?

SignalHire found verified email addresses for Shida Liu, both business and personal. Their business email is l******a@harvard.edu, and personal emails include a*********u@college.harvard.edu, and a****u@harvard.edu.

What is Shida Liu's phone number?

SignalHire found multiple verified phone numbers for Shida Liu: +1-323-***-**16, +1-205-***-**81, and +1-623-***-**35.

How do I contact Shida Liu at Harvard John A. Paulson School of Engineering?

You can reach Shida Liu through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.

What is Shida Liu's professional background?

Shida Liu has 5 years of professional experience. They have held roles including Machine Learning Engineer, Algorithm Engineer, and Keynote Speaker at companies such as MatrixCell, Huaneng Guicheng Trust Corp.,Ltd., and CGTN. Their education includes Bachelor of Arts (A.B.) from Harvard University.

Is Shida Liu's contact information up to date?

Yes. Shida Liu's SignalHire profile was last updated on 12 September 2026, reflecting their current position as Undergraduate Researcher - Mathematical and Scientific Machine Learning at Harvard John A. Paulson School of Engineering in Cambridge, MA, United States.

Shida Liu Namesakes

Name

Company

Position

Al Liu

Binance

Senior Rust Software Engineer - Futures Infrastructure

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Al Liu

Government of Alberta

Senior Continuous Improvement Specialist

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Sofia Zhang

Harvard John A. Paulson School of Engineering

Mechanical Engineering Lab Assistant

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Gyeong Seok Hwang

Harvard John A. Paulson School of Engineering

Postdoctoral Fellow

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Faris Doughan

Harvard John A. Paulson School of Engineering

Undergraduate Researcher

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JUNCHENG

Harvard John A. Paulson School of Engineering

Postdoctoral Fellowship

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Nathan Ouyang

Harvard John A. Paulson School of Engineering

Student Researcher

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Yilun Du

Harvard John A. Paulson School of Engineering

Assistant Professor

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Ethan Ye

Harvard John A. Paulson School of Engineering

Research And Development Engineer

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Anna Burgess

Harvard John A. Paulson School of Engineering

Head Course Assistant

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Mariana Cruz

Harvard John A. Paulson School of Engineering

Summer Fellow

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Evan Hou

Harvard John A. Paulson School of Engineering

Undergraduate Student Researcher | Aizenberg Biomineralization and Biomimetics Lab

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