Title

Ahmet F Coskun

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Title/Position
Associate Professor, Bernie Marcus Early Career Professorship
Areas of Research

Areas of Research

Biomaterials & Regenerative Technologies, Biomedical Imaging & Instrumentation , Biomedical Informatics & Systems Modeling, Cancer Technologies , Immunoengineering , Health Access
Contact

Contact

IBB 1311Georgia Tech
404.894.3866
Single Cell Biotechnology and Spatial Omics Lab
Biography

Biography

Ahmet Coskun is a Bernie-Marcus Early-Career Professor and Associate Professor of Biomedical Engineering at Georgia Institute of Technology and Emory University. Coskun is a systems biotechnologist and bioengineer, working at the nexus of multiplexed cell imaging and quantitative tissue biology. He directs an interdisciplinary research team at the Single Cell Biotechnology and Spatial Omics Laboratory, an interdisciplinary program strategically positioned for multiparameter imaging, one cell at a time, by spatial context and function. Coskun holds five issued patents and is also the co-author of more than 60 peer-reviewed publications in major scientific journals. He is a recipient of the NSF CAREER Award 2024, NIH R35 MIRA Award 2023, Sigma Xi Young Faculty Award 2025, CMBE Young Innovator Award 2024, BMES-CMBE Rising Star Award 2023, American Lung Association Innovation Award 2022, Burroughs Wellcome Fund CASI Award 2016, and Student Recognition of Excellence in Teaching: Class of 1934 CIOS Award, among other research and teaching awards. Previously, Coskun was an instructor at Stanford University. He received his postdoctoral training from the California Institute of Technology. He holds a Ph.D. from the University of California, Los Angeles. His research has been supported by federal and private grants, including the National Institutes of Health (NIGMS, NIA, NIAID, NCI, NIDCR, OD, and ORIP), Wellcome LEAP, Burroughs Wellcome Fund (CASI), NSF CMaT, American Cancer Society IRG, Multi-cellular engineered living systems (M-CELS), and Regenerative Medicine Center. In addition, he leads outreach programs to engage K-12 and undergraduate students through BioCrowd Studio, an innovative crowdsourcing program that combines interactive virtual media, distributed bio-kits, and collaborative spatial discovery.

Education

Education

  • Instructor in Molecular Imaging Program, 2019 - Stanford University
  • Postdoc in Microbiology and Immunology, 2018 - Stanford University
  • Postdoc in Chemisty and Chemical Engineering, 2016 - California Institute of Technology
  • Ph.D. in Electrical Engineering, 2013 - University of California Los Angeles
  • M.S. in Electrical Engineering, 2009 - University of California Los Angeles
  • B.S. in Physics and Electrical Engineering, 2008 - Koc University
Research Interests

Research Interests

Dr. Coskun's research focus bridges the gap between high-resolution spatial multi-omics (transcriptomics, proteomics, metabolomics, and mechanomics) and advanced bio-computation, training researchers to decode cellular complexity through Single-Cell Analysis and Single-Cell Spatial Systems Biology. By integrating Artificial Intelligence and immersive Data Visualization, he equips learners to transform complex biological data into actionable insights. This multidisciplinary approach is designed to advance Predictive Personalized Medicine, specifically through the development and application of patient-specific Digital Twins.

 

Teaching Interests

Teaching Interests

Dr. Coskun's teaching is focused on Biomedical Systems and Modeling, Introduction to Medical Image Processing, and Biomedical Data Visualization. Dr. Coskun's classroom teaching methods involve innovative, inspirational, and inclusive practices. The lectures are designed to meet students' needs, balancing the course's rigor, depth, and breadth.
Publications

Publications

S. Cai, T. Hu, A. Venkataraman, F. G. Rivera Moctezuma, E. Ozturk, N. Zhang, M. Wang, T. Zvidzai, S. Das, A. Pillai, F. Schneider, S. S. Ramalingam, Y. Oh, S.Y. Sun, and A. F. Coskun, “’Spatially resolved subcellular protein–protein interactomics in drug-perturbed lung-cancer cultures and tissues,” Nature Biomedical Engineering, doi: 10.1038/s41551-024-01271-x, 2025.
T. Hu, Allam, S. Cai, W. Henderson, B. Yueh, A. Garipcan, A. Ievlev, M. Afkarian, S. Beyaz, and A. F Coskun, “Single-cell spatial metabolomics with cell-type specific protein profiling for tissue systems biology,” Nature Communications, 14, 8260, 2023.
S. Ganesh, T. Hu, Woods, M. Allam, S. Cai, W. Henderson, and A. F. Coskun, “Spatially resolved 3D metabolomic profiling in tissues,” Science Advances, vol. 7, no. 5, p. eabd0957, 2021
Z. Fang, K. Krusen, H. Priest, M. Wang, S. Kim, A. Sriram, A. Yellaki, A. Singh, E. Horwitz, A. F. Coskun, “Graph-based 3D spatial gene neighborhood networks of single cells in gels and tissues,” BME Frontiers (AAAS), 6, 0110, 2025
Y. Qiu, J. Lin, A. Wang, Z. Fang, Y. Sakurai, H. Choi, E. K. Williams, E. T. Hardy, K. Maher, A. F. Coskun, G. Woods, W. A. Lam, “Clinically relevant clot resolution via a thromboinflammation-on-a-chip,” Nature, 2025.
R. Ringquist, E. Bhatia, P. Chatterjee, D. Maniar, Z. Fang, P. Franz, L. Kramer, D. Ghoshal, N. Sonthi, E. Downey, J. Canlas, A. Ochal, S. Agarwal, V. Cuellar, G. Harrigan, A. F. Coskun, A. Singh, K. Roy, “Modeling the Human Immune Response to Severe Influenza Infection in an Immunocompetent Lung-on-Chip,” Nature Biomedical Engineering, 2025.
Media

Media

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