Peter Lin
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Peter Lin Email & Phone Number

Postdoctoral Research Associate at University of North Carolina at Chapel Hill
Location: Chapel Hill, North Carolina, United States 12 work roles 4 schools
1 work email found @ideas.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 86%

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Role
Postdoctoral Research Associate
Location
Chapel Hill, North Carolina, United States

Who is Peter Lin? Overview

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Peter Lin is listed as Postdoctoral Research Associate at University of North Carolina at Chapel Hill, based in Chapel Hill, North Carolina, United States. AeroLeads shows a work email signal at ideas.com and a matched LinkedIn profile for Peter Lin.

Peter Lin previously worked as Associate Staff Scientist Intern at Ideas Revenue Solutions and Graduate Teaching Fellow at University Of North Carolina At Chapel Hill. Peter Lin holds Doctor Of Philosophy - Phd, Statistics from University Of North Carolina At Chapel Hill.

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About Peter Lin

Peter Lin is a Postdoctoral Research Associate at University of North Carolina at Chapel Hill. He is proficient in Spanish and Chinese.

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University of North Carolina at Chapel Hill
University Of North Carolina At Chapel Hill
Postdoctoral Research Associate
Chapel Hill, NC, US
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12 roles

Peter Lin work experience

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

Associate Staff Scientist Intern

Cary, North Carolina, United States

Investigated the feasibility of using large language models and generative AI in internal documentation searches and automated classification and answering of client questions.

Jul 2023 - Oct 2024

Graduate Teaching Fellow

Chapel Hill, North Carolina, United States

Taught STOR 113: Decision Models for Business and Economics as part of the Summer 1 term.

May 2023 - Jun 2023

Research Assistant

University Of North Carolina At Chapel Hill

Chapel Hill, North Carolina, United States

Investigated the use of Deep Q-Learning with priority queueing systems to reduce abandonment rates of customers. Implementation is done in Python with the use of OpenAI gym and PyTorch.

May 2022 - Apr 2023

Graduate Teaching Fellow

University Of North Carolina At Chapel Hill

Chapel Hill, North Carolina, United States

Instructor for STOR 151: Introduction to Data Analysis, which is an introductory statistics course going through basic experimental design, basic probability, inference for one- and two- proportions and means, and linear regression

Aug 2022 - Dec 2022

Graduate Teaching Fellow

Chapel Hill, North Carolina, United States

Instructor for STOR 113: Decision Models for Business and Economics, which is a calculus class for students planning to enter the business school or major in economics or related subjects. Topics include linear, quadratic, and exponential models, derivatives, partial derivatives, and simple unconstrained optimization.

Jan 2022 - May 2022

Instructional Assistant

Chapel Hill, North Carolina, United States

Served as an instructional assistant and lab instructor for STOR 120, which is a introductory data science course that uses Python to learn about hypothesis testing, confidence intervals, and simple linear regression and classification.

Aug 2020 - Dec 2021

Instructional Assistant

University Of North Carolina At Chapel Hill

Chapel Hill, North Carolina, United States

Instructional Assistant for STOR 320: Intro to Data Science, which teaches students how to use R with a basic skill set for data analysis, including exploratory analysis and methods involving regression and classification.

Jun 2020 - Jul 2020

Instructional Assistant

Chapel Hill, North Carolina, United States

Instructional assistant for STOR 455: Methods of Data Analysis, which includes using R to perform linear regression and associated significance tests, model selection and diagnostics, logistic regression, and analysis of variance.

Aug 2019 - May 2020

Summer Intern

Rome, NY

Investigated the possible use of tensor decompositions in image classification tasks to reduce required computation and/or training time. Used Python and Tensorflow for implementation.

May 2019 - Aug 2019

Summer Intern

Oak Ridge, TN

Worked in the Geographic Information Science and Technology Group in the Computational Science and Engineering Division.Used Python and R code to infer and display power outage locations from non-utility data.

Jun 2018 - Aug 2018
4 education records

Peter Lin education

Bachelor Of Science - Bs, Mathematics And Statistics

Activities and Societies: Association for Computing Machinery, University Math SocietyGraduated cum laude with a double major in.

Chinese Language And Literature

Studied abroad during Summer 2016 and Summer 2017 for 12 and 10 weeks respectively as part of the UF in Beijing Chinese Language program.

High School

Boca Raton Community High School

Activities and Societies: Science Olympiad, National Math Honor Society, Varsity Swimming

FAQ

Frequently asked questions about Peter Lin

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

What company does Peter Lin work for?

Peter Lin works for University of North Carolina at Chapel Hill.

What is Peter Lin's role at University of North Carolina at Chapel Hill?

Peter Lin is listed as Postdoctoral Research Associate at University of North Carolina at Chapel Hill.

What is Peter Lin's email address?

AeroLeads has found 1 work email signal at @ideas.com for Peter Lin at University of North Carolina at Chapel Hill.

Where is Peter Lin based?

Peter Lin is based in Chapel Hill, North Carolina, United States while working with University of North Carolina at Chapel Hill.

What companies has Peter Lin worked for?

Peter Lin has worked for University Of North Carolina At Chapel Hill, Ideas Revenue Solutions, Air Force Research Laboratory, and Oak Ridge National Laboratory.

How can I contact Peter Lin?

You can use AeroLeads to view verified contact signals for Peter Lin at University of North Carolina at Chapel Hill, including work email, phone, and LinkedIn data when available.

What schools did Peter Lin attend?

Peter Lin holds Doctor Of Philosophy - Phd, Statistics from University Of North Carolina At Chapel Hill.

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