Aditi Das did her BSc. (Hons.) Chemistry from St. Stephen's College Delhi, followed by M.S. (Chemistry) from I.I.T (Kanpur). She received her Ph.D. in Chemistry from Princeton University. She did post-doctoral work with Prof. Steve Sligar. She joined University of Illinois, Urbana-Champaign (UIUC) as a tenure track assistant professor in 2012. In 2019, she was promoted to associate professor with tenure. In 2022, she joined School of Chemistry and Biochemistry at Georgia Institute of Technology as an associate professor with tenure. Her research is in the area of enzymology of oxygenases that are involved lipid metabolism and cannabinoid metabolism.

Das is recipient of an American Heart Associate (AHA) career award and has been funded by National Institute of Health (NIH - NIGMS, NIDA and NCCIH), USDA, and National Multiple Sclerosis Society (NMSS). Her research was recognized by several National awards: Young Investigator award From Eicosanoid Research Foundation, Mary Swartz Rose Young Investigator Award and E.L.R. Stokstad award from American Society for Nutrition (ASN) for outstanding research on bioactive compounds for human health. She is also the recipient of Zoetis Research Excellence Award from her college. She was a co-organizer of the International Conference on Cytochrome P450. Recently her laboratory contributed several papers on cannabinoid metabolism by p450s. In recognition of this work, she was awarded El Sohly award from the ACS-Cannabis division for excellence in Cannabis research and is invited to give plenary lecture at ISSX meeting.  Das is also a standing study section member of BBM NIH study section. 

Ahmet Coskun is a systems biotechnologist and bioengineer, working at the nexus of multiplex imaging and quantitative cell biology.

Single Cell Biotechnology Lab is strategically positioned for imaging one cell at a time for spatial context. We are multi-disciplinary researchers interested in photons, ions, and electrons and their interactions with cells and tissues.  Using large-scale experiments and computational analysis, we address fundamental challenges in cancers, immunology, and pediatric diseases. Variability of single cell profiles can be used to understand differences in therapeutic response, as well as satisfy our curiosity on understanding how cells are spatially organized in nature.

Our lab aims to deliver biotechnologies for spatial multi-omics profiling vision at the single cell level.

1) Spatial genomics: Our lab was part of an early efforts to demonstrate spatially resolved RNA profiling in single cells using a sequential FISH method. We will continue leveraging seqFISH and correlation FISH (another computational RNA imaging method) for exploring spatial dynamics of cellular societies.

2) Spatial proteomics: Our lab develops expertise on antibody-oligonucleotide based barcoding for multiplex protein imaging using CODEX technology. We combine CODEX with super-resolution and 3D imaging to visualize and quantify subcellular epigenetic states of immune and cancer cells.

3) Spatial metabolomics: Our lab works on computational and isotope barcoding approaches for small molecule profiling using MIBI (Multiplexed ion beam imaging). 3D and subcellular metabolic state of individual cells are used to model functional modes of cellular decision making in health and disease.

We also develop machine learning and deep learning algorithms to make sense of imaging based single cell big data.

In a nutshell, we create image-based ‘omic technologies to reveal spatial nature of biological systems. We benefit from enabler tools:  Super-resolution bioimaging, barcoded biochemical reagents, advanced algorithms and automated microfludics. Topical interests include Spatial Biology, Liquid Biopsy, and Global Oncology.

Ahmet Coskun trained at Stanford (Postdoc/Instructor with Garry Nolan), Caltech (Postdoc with Long Cai) and UCLA (PhD with Aydogan Ozcan). His lab is currently funded by NIH K25, BWF CASI, Georgia Tech & Emory.

Marcus T Cicerone received his Ph.D. from the University of Wisconsin – Madison in 1994, under the direction of Mark Ediger. He spent three years at Johnson & Johnson Clinical Diagnostics, served as a visiting teaching professor at Brigham Young University for two years, and subsequently joined the National Institute of Standards and Technology in 2001, where he remained for 18 years, serving as a group leader and project leader. In January 2019 he joined the Georgia Institute of Technology as a Professor of Chemistry. 

Professor Cicerone is a fellow of American Physical Society, and has received several awards for his efforts in coherent Raman-based biological imaging and for his work in dynamics of liquids and amorphous solids. These include a Johnson & Johnson Director’s Research Award, two Department of Commerce Bronze metals, the 2015 Washington Academy of Sciences Physical & Biological Sciences Award, and the 2017 Arthur S. Flemming Award.

Dr. Bhasin's laboratory has developed strategies for analysis of transcriptome, epigenome, and proteomics data to perform multi-scale modeling of interaction among different cells molecular level and to identify novel biomarkers. He and his team are currently focusing on developing novel single-cell omics approaches to understand disease heterogeneity and the impact of treatments at single-cell resolution. He is involved in developing approaches for the analysis of multi-dimensional single-cell data by developing innovative approaches for single-cell sparsity, batch correction, annotation, and integration. Using these approaches, his group is working toward understanding: 1. Understanding heterogeneity and relapse mechanisms in pediatric hematological malignancies 2. Understanding heterogeneity and progression in multiple myeloma. 3. Development of molecular diagnostics platforms for cancer diagnosis and prognosis 4. Identification of biomarkers for early detection of pancreatic cancer, glioblastoma, and colon cancer 5. Artificial intelligence-based histopathology and radiology cancer image analysis approaches 6. Single-cell Atlas for Pediatric Cancers Additionally, our group is also developing Biomarkers associated with impaired healing of Diabetic Foot Ulcers using single-cell profiling and deep learning-driven wound image analysis. We are working collaboratively to develop innovative genomics and clinical data-driven drug repurposing approaches.