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Kyle Gilman Email & Phone Number

Technical Staff at MIT Lincoln Laboratory
Location: Cambridge, Massachusetts, United States 8 work roles 3 schools
1 work email found @umich.edu 1 phone found area 307 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email k****@umich.edu
Direct phone (307) ***-****
LinkedIn Profile matched
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Current company
Role
Technical Staff
Location
Cambridge, Massachusetts, United States

Who is Kyle Gilman? Overview

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Quick answer

Kyle Gilman is listed as Technical Staff at MIT Lincoln Laboratory, based in Cambridge, Massachusetts, United States. AeroLeads shows a work email signal at umich.edu, phone signal with area code 307, and a matched LinkedIn profile for Kyle Gilman.

Kyle Gilman previously worked as Applied AI/ML Modeling, Senior Associate at Jpmorgan Chase & Co. and Graduate Research Assistant at University Of Michigan. Kyle Gilman holds Ph.D, Signal Processing from University Of Michigan.

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Email format at MIT Lincoln Laboratory

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{first_initial}{last}@umich.edu
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Profile bio

About Kyle Gilman

I am a currently a Member of Technical Staff at MIT Lincoln Laboratory. Prior to that, I worked in AI/ML modeling at JPMorgan Chase. I received my PhD from the Department of Electrical and Computer Engineering at the University of Michigan in 2022, where I was advised by Professor Laura Balzano. My research is in unsupervised machine learning, statistical signal processing, and optimization. I design and analyze new algorithms for problems with big messy data, developing methods with principled modeling techniques and theoretical guarantees. I have applied my work across a diverse range of real applications that spans signal processing, computer vision, medical imaging, banking, environmental sensing, and more.

Listed skills include C++, Ltspice, Xilinx Ise, Msp430 Assembly, and 6 others.

Current workplace

Kyle Gilman's current company

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MIT Lincoln Laboratory
Mit Lincoln Laboratory
Technical Staff
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8 roles

Kyle Gilman work experience

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Applied Ai/Ml Modeling, Senior Associate

New York, Ny, Us

Jan 2023 - Apr 2024

Graduate Research Assistant

Ann Arbor, Michigan, Us

Research in nonconvex optimization with applications in computer vision and signal processing. My work focuses on online algorithms, low-rank models, matrix and tensor factorizations, problems with missing and/or corrupted data, and heteroscedastic models.- Derived principled machine learning models and algorithms to analyze, clean, and process large-scale, high-dimensional data with noise, missing entries, and corruptions.- Developed novel online algorithms for high-arrival rate streaming data. - Implemented efficient numerical optimizers in Python, Julia, and MATLAB.- Demonstrated real data experiments for image/video processing, low-level computer vision, and air quality monitoring.- Achieved theoretical guarantees for difficult nonconvex optimization problems.- Communicated results in research symposiums, academic conferences, and journal publications.

Aug 2017 - Dec 2022

Graduate Student Instructor

Ann Arbor, Michigan, Us

EECS 505: Computational Data Science and Machine Learning

Aug 2020 - Dec 2020

Graduate Student Instructor

Ann Arbor, Michigan, Us

EECS 505: Computational Data Science and Machine Learning

Aug 2019 - Dec 2019

Scalable Modeling & Algorithms Graduate Research Intern

Albuquerque, Nm, Us

Generalized canonical polyadic (GCP) tensor decompositions. Mentored by Eric Phipps.

Jun 2021 - Aug 2021

Electrical Engineer Research Intern

Wright-Patterson Afb, Oh, Us

Achieved segmentation of filled elastomer serial section image data with trainable WEKAsegmentation. Obtained key particulate parameters like volume fraction, size, distancing,and surface curvature through 3D reconstruction in DREAM.3D. Presented to researchgroup on composite materials.

Jun 2017 - Aug 2017

Electrical Engineering Research Intern

Wright-Patterson Afb, Oh, Us

Researched image processing pipelines for fiber quantification in PMC laminates fromoptical images to segment structure and extract key 2D fiber metrics. Assessed baselineaccuracy of existing state-of-the-art algorithms. Developed novel alternatives for fibersegmentation using computer vision techniques.

May 2016 - Jul 2016
3 education records

Kyle Gilman education

Ph.D, Signal Processing

University Of Michigan

Masters Of Science, Electrical Engineering - Computer Vision

University Of Michigan

Bachelor’S Degree, Electrical Engineering, Bioengineering

University Of Wyoming College Of Engineering And Physical Sciences
FAQ

Frequently asked questions about Kyle Gilman

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

What company does Kyle Gilman work for?

Kyle Gilman works for MIT Lincoln Laboratory.

What is Kyle Gilman's role at MIT Lincoln Laboratory?

Kyle Gilman is listed as Technical Staff at MIT Lincoln Laboratory.

What is Kyle Gilman's email address?

AeroLeads has found 1 work email signal at @umich.edu for Kyle Gilman at MIT Lincoln Laboratory.

What is Kyle Gilman's phone number?

AeroLeads has found 1 phone signal(s) with area code 307 for Kyle Gilman at MIT Lincoln Laboratory.

Where is Kyle Gilman based?

Kyle Gilman is based in Cambridge, Massachusetts, United States while working with MIT Lincoln Laboratory.

What companies has Kyle Gilman worked for?

Kyle Gilman has worked for Mit Lincoln Laboratory, Jpmorgan Chase & Co., University Of Michigan, Sandia National Laboratories, and Air Force Research Laboratory.

How can I contact Kyle Gilman?

You can use AeroLeads to view verified contact signals for Kyle Gilman at MIT Lincoln Laboratory, including work email, phone, and LinkedIn data when available.

What schools did Kyle Gilman attend?

Kyle Gilman holds Ph.D, Signal Processing from University Of Michigan.

What skills is Kyle Gilman known for?

Kyle Gilman is listed with skills including C++, Ltspice, Xilinx Ise, Msp430 Assembly, Electric, Circuitmaker, Energia, and Java.

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