Kevin Ta
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Kevin Ta Email & Phone Number

Federated Learning @ Intel | Ph.D. in Medical Image Analysis at Intel Corporation
Location: United States 7 work roles 2 schools
1 work email found @intel.com 2 phones found area 203 LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email k****@intel.com
Direct phone (203) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Federated Learning @ Intel | Ph.D. in Medical Image Analysis
Location
United States
Company size

Who is Kevin Ta? Overview

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Quick answer

Kevin Ta is listed as Federated Learning @ Intel | Ph.D. in Medical Image Analysis at Intel Corporation, a with 133841 employees, based in United States. AeroLeads shows a work email signal at intel.com, phone signal with area code 203, and a matched LinkedIn profile for Kevin Ta.

Kevin Ta previously worked as Software Engineer - AI Frameworks at Intel Corporation and Open-source contributor at Intel Corporation. Kevin Ta holds Doctor Of Philosophy (Phd), Engineering & Applied Science from Yale University.

Company email context

Email format at Intel Corporation

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{first}.{last}@intel.com
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AeroLeads found 1 current-domain work email signal for Kevin Ta. Compare company email patterns before reaching out.

Profile bio

About Kevin Ta

Kevin Ta is a Federated Learning @ Intel | Ph.D. in Medical Image Analysis at Intel Corporation. He possess expertise in microsoft office, ni labview, solidworks, matlab, multisim and 9 more skills.

Listed skills include Microsoft Office, Ni Labview, Solidworks, Matlab, and 10 others.

Current workplace

Kevin Ta's current company

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Intel Corporation
Intel Corporation
Federated Learning @ Intel | Ph.D. in Medical Image Analysis
santa clara, california, united states
Website
Employees
133841
AeroLeads page
7 roles

Kevin Ta work experience

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

Software Engineer - Ai Frameworks

Current

Developing software for decentralized collaborative machine learning

May 2024 - Present

Open-Source Contributor

OpenFL, a federated learning framework for training and evaluating models across decentralized devices while preserving data privacy and security. Starting as an initiative between Intel and UPenn, it is now hosted under the Linux Foundation. (Lean more: https://openfl.io/)

Apr 2023 - May 2024

Ai Software Solutions Engineer

Partnered with engineering, business, and product teams to define strategies and build high-value software solutions using Intel AI tools to address customer and industry needsSpecializing in:● Intel(R) Extension for Transformers* - solutions engineering team lead● Intel(R) Extension for PyTorch*

Oct 2022 - May 2024

Graduate Research Assistant

New Haven, Ct

● Collaborated with clinicians and researchers from Yale School of Medicine to develop biomechanically inspired machine learning models to detect biomarkers and characterize myocardial injury from 3D+time echocardiography

Aug 2016 - Sep 2022

Teaching Fellow

● Introduction to Biomedical Computation: Description: Computational and mathematical tools used in biomedical engineering for the simulation of biological systems and the analysis of biomedical data. Basics of computational programming in MATLAB; applications to modeling, design, and statistical and data analysis

Jan 2019 - May 2022

Teaching Assistant

Storrs, Ct

● LabVIEW Basics for EngineersDescription: Introduces LabVIEW programming environment. The fundamentals of using graphical programming to collect, analyze, display and store data are covered. Learn techniques for designing stand alone applications, creating interactive user interfaces and optimizing data flow.● Introduction to Biomedical EngineeringDescription: Fundamental concepts and techniques of engineering and medical science and their integration. The art and science of medicine and the process of medical diagnosis and treatment. Topics include: diagnostic instrumentation, diagnostic measurements and their interplay; bioelectric phenomena, biomechanics, and biomaterials; biochemical engineering; computers in medicine; molecular medicine and biotechnology; medical imaging

Jan 2015 - May 2016

Resident Assistant

Storrs, Ct

● Led a supportive and inclusive living environment by developing strong social connections with all residents in the area and organizing educational programs aimed at strengthening the community● Participated in rotating duty shifts during nights and weekend days and was responsible for monitoring the area for safety concerns and responding to incidents and concerns within the community

Aug 2014 - May 2016
Team & coworkers

Colleagues at Intel Corporation

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2 education records

Kevin Ta education

Doctor Of Philosophy (Phd), Engineering & Applied Science

Concentration: Biomedical Engineering, Medical Image Analysis

Bachelor Of Science (Bs), Biomedical Engineering

Concentration: Bioinstrumentation, Electronics & Systems

FAQ

Frequently asked questions about Kevin Ta

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

What company does Kevin Ta work for?

Kevin Ta works for Intel Corporation.

What is Kevin Ta's role at Intel Corporation?

Kevin Ta is listed as Federated Learning @ Intel | Ph.D. in Medical Image Analysis at Intel Corporation.

What is Kevin Ta's email address?

AeroLeads has found 1 work email signal at @intel.com for Kevin Ta at Intel Corporation.

What is Kevin Ta's phone number?

AeroLeads has found 2 phone signal(s) with area code 203 for Kevin Ta at Intel Corporation.

Where is Kevin Ta based?

Kevin Ta is based in United States while working with Intel Corporation.

What companies has Kevin Ta worked for?

Kevin Ta has worked for Intel Corporation, Yale University, and University Of Connecticut.

Who are Kevin Ta's colleagues at Intel Corporation?

Kevin Ta's colleagues at Intel Corporation include Derrick Teoh, Zhi Tong Lim, Jeff Bake, Daniel Witczak, and Brian H..

How can I contact Kevin Ta?

You can use AeroLeads to view verified contact signals for Kevin Ta at Intel Corporation, including work email, phone, and LinkedIn data when available.

What schools did Kevin Ta attend?

Kevin Ta holds Doctor Of Philosophy (Phd), Engineering & Applied Science from Yale University.

What skills is Kevin Ta known for?

Kevin Ta is listed with skills including Microsoft Office, Ni Labview, Solidworks, Matlab, Multisim, Ltspice, Latex, and Technical Writing.

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