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Soyeon Kim Email & Phone Number

Research Assistant Professor at University of Pittsburgh
Location: Pittsburgh, Pennsylvania, United States 7 work roles 4 schools
1 work email found @pitt.edu 2 phones found area 832 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email k****@pitt.edu
Direct phone (832) ***-****
LinkedIn Profile matched
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Current company
Role
Research Assistant Professor
Location
Pittsburgh, Pennsylvania, United States

Who is Soyeon Kim? Overview

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Quick answer

Soyeon Kim is listed as Research Assistant Professor at University of Pittsburgh, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a work email signal at pitt.edu, phone signal with area code 832, and a matched LinkedIn profile for Soyeon Kim.

Soyeon Kim previously worked as Postdoctoral Researcher at Upmc Children'S Hospital Of Pittsburgh and Postdoctoral Research Fellow at The University Of Texas Health Science Center At Houston (Uthealth). Soyeon Kim holds Doctor Of Philosophy (Ph.D.), Statistics from Rice University.

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Email format at University of Pittsburgh

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

About Soyeon Kim

With over five years at the University of Pittsburgh, my role as Research Assistant Professor is grounded in pioneering statistical/deep learning methods for critical health discoveries. My expertise in multi-omics data analysis underpins our team's efforts to unravel complex disease pathogeneses, such as lung and breast cancer and childhood asthma. We've successfully identified predictive and prognostic biomarkers and inferred causality among clinical and molecular features, supporting more effective immunotherapies.Leading and mentoring a research team, including 8 Ph.D. or Master students, our collaborative efforts have yielded significant outcomes. The team and I present intricate results to an interdisciplinary ensemble, comprising quantitative, experimental, and clinical scientists, to propel forward our clinical and molecular understanding. This synergy of computational biology and clinical research continues to drive our mission in advancing patient care through innovative data integration and analysis.

Listed skills include Biostatistics, Machine Learning, R, Statistics, and 7 others.

Current workplace

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University of Pittsburgh
University Of Pittsburgh
Research Assistant Professor
Pittsburgh, PA, US
AeroLeads page
7 roles

Soyeon Kim work experience

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

Research Assistant Professor

• Design and conduct integrative analyses of multi-omics data (e.g. genotype, DNA methylation, and gene expression) to uncover pathogeneses of a complex disease • Develop deep learning methods to 1) identify cell clusters correlated with enhanced response to immunotherapy in lung cancer using single-cell RNA seq, 2) infer causality among clinical and molecular features in breast cancer, and 3) predict complex phenotypes using epigenetic data • Present complex results effectively to 13 interdisciplinary team members of quantitative, experimental, and clinical scientists to address motivating clinical and molecular questions. • Lead research teams, mentoring 5 Ph.D. or Master students, resulting in 12 peer-reviewed papers • Present research at conferences including ASHG and ENAR methods

Postdoctoral Researcher

Greater Pittsburgh Area

• Received NIH T32 award (2018-2020) • Researched causal relationship among GWAS SNPs, DNA methylation, and gene expression • Investigated interactions between miRNA and mRNA in breast cancer

Jul 2018 - Jun 2020

Postdoctoral Research Fellow

Houston, Texas Area

• Developed statistical machine learning models to predict gene expression using long-range regulatory elements using epigenetic data in TCGA pan-cancer • Predicted five-year survival of breast cancer patients and other phenotypes using the predicted gene expression

Dec 2016 - Dec 2017

Graduate Research Assisant

Houston, Texas Area

• Developed a novel statistical learning method, Prediction Oriented Marker Selection (PROMISE), to identify predictive and prognostic biomarkers (genes) and predict outcomes of treatments in high dimensional clinical trial data for precision medicine in lung cancer.

Jun 2010 - Dec 2015

Graduate Research Assistant

Analyzed the heritability of Copy Number Variations (CNV) between generations under the linear regression models.Transformed the data of CNV in Relational schema to measure the heritability.Collaborated with medical doctors and biologists in communications on a weekly base.

May 2009 - Apr 2010

Student Researcher

National Cancer Center

Internship as a biostatistcian

Jun 2007 - Aug 2007
4 education records

Soyeon Kim education

FAQ

Frequently asked questions about Soyeon Kim

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

What company does Soyeon Kim work for?

Soyeon Kim works for University of Pittsburgh.

What is Soyeon Kim's role at University of Pittsburgh?

Soyeon Kim is listed as Research Assistant Professor at University of Pittsburgh.

What is Soyeon Kim's email address?

AeroLeads has found 1 work email signal at @pitt.edu for Soyeon Kim at University of Pittsburgh.

What is Soyeon Kim's phone number?

AeroLeads has found 2 phone signal(s) with area code 832 for Soyeon Kim at University of Pittsburgh.

Where is Soyeon Kim based?

Soyeon Kim is based in Pittsburgh, Pennsylvania, United States while working with University of Pittsburgh.

What companies has Soyeon Kim worked for?

Soyeon Kim has worked for University Of Pittsburgh, Upmc Children'S Hospital Of Pittsburgh, The University Of Texas Health Science Center At Houston (Uthealth), University Of Texas M.D. Anderson Cancer Center, and Texas Children'S Hospital.

How can I contact Soyeon Kim?

You can use AeroLeads to view verified contact signals for Soyeon Kim at University of Pittsburgh, including work email, phone, and LinkedIn data when available.

What schools did Soyeon Kim attend?

Soyeon Kim holds Doctor Of Philosophy (Ph.D.), Statistics from Rice University.

What skills is Soyeon Kim known for?

Soyeon Kim is listed with skills including Biostatistics, Machine Learning, R, Statistics, Cancer, Statistical Modeling, Statistical Computing, and Biomarkers.

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