TIANQING FENG //Under Construction :)

Tianqing's Profile Picture

Contact

Email: tianqing.f@outlook.com
Github · Linkedin

Bio

Hi, I'm Tianqing(TQ) Feng, currently a Ph.D. student in Materials Science and Engineering at the University of Central Florida. I work in the Petelski Research Group, where I'm mentored by Dr. Aleksandra A. Petelski-Kulik. Prior to this, I was a data analyst at the Center for Precision Medicine(CPM) at the University of Texas Health Science Center in San Antonio, under the supervision of Dr. Kumar Sharma. I earned my Bachelor of Science degree in Computer Engineering from Louisiana State University(LSU), where I was mentored by Professor Lu Peng.

Research Interests

My research combines mass spectrometry–based proteomics and computational biology to investigate how protein regulation and organization contribute to cancer biology and treatment response. My current work focuses on breast cancer, using proteomic data from mouse models and patient cohorts to explore differences associated with aging and therapeutic interventions. I am particularly interested in protein complexes—how the abundance and coordination of their subunits vary across biological conditions, and what these patterns can reveal about cellular function and disease.

Drawing on my background in computer engineering, I develop and implement reproducible computational workflows for processing, analyzing, and interpreting large-scale proteomics datasets. My interests include connecting peptide- and protein-level measurements with protein complexes, biological networks, and functional pathways to better understand coordinated changes within tumors.

I am also interested in extending these approaches to single-cell proteomics and integrating proteomic measurements with other molecular, clinical, and imaging data. Looking ahead, I hope to explore interpretable machine learning and AI-assisted analytical tools that improve biological interpretation, support data integration, and help generate testable hypotheses about disease mechanisms and therapeutic response.

If you're interested in collaborating on projects, please don't hesitate to reach out via email. I'm always open to exploring new ideas and collaborations!

Updates

Publications


PHYSREP-2025-06-568-T1_Figure_1

Metabolic Shifts in Plasma Amino Acids and Related Metabolites in Response to SGLT2 Inhibition and Hyperglycemia in Type 1 Diabetes
Luxcia Kugathasan, Nagarjunachary Ragi, Subrata Debnath, Vikas S Sridhar, Soumya Maity, Tianqing Feng, Esmeralda Trevino, Bruce Perkins, David ZI Cherney, and Kumar Sharma
Accepted Physiol. Rep. 2025
PDF


Multi-Omics-Integration-in-Nephrology_Figure_1

Multi-Omics Integration in Nephrology: Advances, Challenges, and Future Directions
Afaf Saliba, Yuheng Du, T. Feng, and L. Garmire
Accepted Semin. Nephrol. 2025
PDF


Geauxtrace Logo

A Scalable Privacy-Protecting Contact Tracing App Design Using Blockchain
T. Lu, F. Qi, J. Ner, T. Feng, B. Cunningham and L. Peng
BDCAT2023
PDF


Experience


Petelski Research Group Logo

Petelski Research Group, University of Central Florida
Graduate Research Assistant, August 2025 - Present
Mentor: Aleksandra A. Petelski-Kulik


UTHSCSA CPM Logo

Center for Precision Medicine, University of Texas Health Science Center San Antonio
Database Analyst | SDE, July 2023 - July 2025
Supervisor and Mentor: Kumar Sharma, Soumya Maity, Guanshi Zhang


Lis Biotech Logo

Lis Biotech LLC, San Antonio
IT Consultant | SDE, July 2023 - July 2024


Lockeed Martin Logo

Michoud Assembly Facility, Lockheed Martin Space(partnership with LSU)
Systems and Software Engineer Intern(Project Lead), August 2022 - June 2023
Advisor: Mark Breen, Shuangqing Wei
Project: Autoclave Data Extraction


UTHSCSA CPM Logo

Computer Architecture Lab, Louisiana State University
Undergraduate Research Assistant, June 2021 - July 2023
Mentor: Lu Peng
Topic: GeauxTrace Contact Tracing App

Interests



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