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Hanyang Li Email & Phone Number

Staff AI Engineer at Eve
Location: San Francisco Bay Area, United States 8 work roles 2 schools
1 work email found @eve.legal LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email h****@eve.legal
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Current company
Eve
Role
Staff AI Engineer
Location
San Francisco Bay Area, United States
Company size

Who is Hanyang Li? Overview

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Quick answer

Hanyang Li is listed as Staff AI Engineer at Eve, a with 105 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at eve.legal and a matched LinkedIn profile for Hanyang Li.

Hanyang Li previously worked as Machine Learning Engineer at Moveworks and Machine Learning Engineer at Bloomberg Lp. Hanyang Li holds Master Of Science - Ms, Machine Learning from Carnegie Mellon University.

Company email context

Email format at Eve

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{first}.{last}@eve.legal
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AeroLeads found 1 current-domain work email signal for Hanyang Li. Compare company email patterns before reaching out.

Profile bio

About Hanyang Li

Building conversational AI for enterprise.

Listed skills include Research, Python, Matlab, R, and 15 others.

Current workplace

Hanyang Li's current company

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Eve
Eve
Staff AI Engineer
San Francisco, CA, US
Website
Employees
105
AeroLeads page
8 roles

Hanyang Li work experience

A career timeline built from the work history available for this profile.

Staff Ai Engineer

Eve

San Francisco, Ca, Us

Machine Learning Engineer

Current

Mountain View, California, Us

Jan 2022 - Present

Machine Learning Engineer

New York, Ny, Us

• Develop standard tooling for Natural Language Processing (NLP) development in Bloomberg• Build pipelines of continuous training for language identification models used in production• Designed and implemented translation algorithms for client-facing search products, improving latency from exponential time to quadratic• Conducted research in short text language identification and NLP for news headlines

Mar 2020 - Jan 2022

Research Intern, Predictive Algorithms

Ma, 01824, Us

• Built a machine learning pipeline on AWS SageMaker for dataset preparation, optimized data loading, model training, and model evaluation with TensorFlow and Keras.• Designed and implemented ResNet models for irregular heart rhythms classification on time series ECG data, achieving 92.6% accuracy on AFib detection and 0.84 avg-F1 on five-rhythm classification.• Applied data augmentation and a custom loss function to alleviate dataset imbalance, improving baseline performance by 7.7% on atrial fibrillation detection and 11.1% on five-rhythm classification.• Wrote an API to extract model intermediate layer feature embedding as input for a Sudden Cardiac Arrest predictive model to alerts physicians of cardiac arrest risk of patients.

May 2019 - Aug 2019

Computational Biology & Bioinformatics Research Assistant

Houston, Tx, Us

• Tested and quantitatively evaluated the efficiency and accuracy of a novel clustering algorithm incomparison with nine commonly used algorithms on cancer subtype identification, resulting in apeer-reviewed publication on BMC Bioinformatics.• Designed graphical user interfaces for a novel microscopy image analysis program, resulting in apeer-reviewed publication on the Journal of Neuroscience Methods.• Processed images of neural progenitor cells for further analysis of neural network formation.• Developed algorithms to characterize DNA transcription sites in breast cancer cell nuclei.

Aug 2015 - May 2018

Bioinformatics Research Assistant

Houston, Texas, Us

• Conducted literature review on protein-drug interactions, identifying five types of conservedstructures (hotspots) in human protein kinases associated with drug resistance mutations.• Collected and analyzed protein sequence data, revealing precise locations of hotspots in over 400human protein kinases.• Overlapped hotspots with public cancer-related mutation data, discovering 10 novel mutationpatterns in human kinases potentially responsible for anti-cancer drug resistance.

Jun 2017 - Dec 2017

Material Science Research Assistant

Houston, Tx, Us

- Conducted literature review on current research and summarized findings on biocompatible materialhydrogel to assist with conceptualizing new research targets.- Assisted in synthesizing a new type of hydrogel featuring self-stiffening capability.- Conducted mechanical characterization of the hydrogel to analyze its properties.

Jan 2015 - May 2015
2 education records

Hanyang Li education

Master Of Science - Ms, Machine Learning

Carnegie Mellon University

Bachelor Of Science In Bioengineering, Bioengineering And Biomedical Engineering

Rice University
FAQ

Frequently asked questions about Hanyang Li

Quick answers generated from the profile data available on this page.

What company does Hanyang Li work for?

Hanyang Li works for Eve.

What is Hanyang Li's role at Eve?

Hanyang Li is listed as Staff AI Engineer at Eve.

What is Hanyang Li's email address?

AeroLeads has found 1 work email signal at @eve.legal for Hanyang Li at Eve.

Where is Hanyang Li based?

Hanyang Li is based in San Francisco Bay Area, United States while working with Eve.

What companies has Hanyang Li worked for?

Hanyang Li has worked for Eve, Moveworks, Bloomberg Lp, Carnegie Mellon University, and Zoll Medical Corporation.

How can I contact Hanyang Li?

You can use AeroLeads to view verified contact signals for Hanyang Li at Eve, including work email, phone, and LinkedIn data when available.

What schools did Hanyang Li attend?

Hanyang Li holds Master Of Science - Ms, Machine Learning from Carnegie Mellon University.

What skills is Hanyang Li known for?

Hanyang Li is listed with skills including Research, Python, Matlab, R, Bioinformatics, Image Processing, Chinese, and Ni Labview.

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