Alumni

Instructor and Assistant Editor (CAUSE), Middle Tennessee State University 2012 thru 2014

Current: Lecturer, Middle Tennessee State University, Murfreesboro, TN

Research Fellow 2019 thru 2022

Current: Research Assistant Professor, Radiology & Radiological Sciences, VUMC

Postdoctoral Research Fellow 2005 thru 2007

Current:  Associate Professor of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis

Postdoctoral Research Fellow 2009 thru 2013

Current: Assistant Professor of Medicine, University of Connecticut School of Medicine

Graduate Student/Postdoctoral Research Fellow 2010 thru 2018

Current: Multi- Modality Imaging Scientist, MR Solutions Ltd.

Quantitative MRI, Mass Spectrometry Imaging,
Spinal Cord Injury Modeling, Machine Leaning and Computational Imaging. 

Quantitative MRI and MALDI MSI in spinal cord injury to understand injury progression, and recovery. 

Graduate Student 2010 thru 2012

Current: Statistical Analyst at Thomas Jefferson University

Imaging Research Scientist 2010 thru 2016

Postdoctoral Research Fellow 2004 thru 2007

Current: Faculty at Federal University of Pernambuco

Postdoctoral Fellow, Research Assistant Professor 2008 thru 2016

Current: Assistant Professor of Radiology, Harvard Medical School and Massachusetts General Hospital

Post Doctorate Research Fellow 2015 thru 2017

Current: Head of Data Science Team at Yandex in Moscow, Russia

PhD, Computer Science, Vanderbilt University

Current: Research Assistant Professor of Computer Science, Vanderbilt University School of Engineering

Research Analyst 2016 thru 2017

Current: Clinical Research Associate at PPD

Graduate Student, Master of Imaging Sciences 2023 thru 2024

Graduate Student 2009 thru 2012

Current: Technical Reviewer with Broad Science Background, NAMSA

Postdoctoral Research Fellow 2010 thru 2014

Current: Manager, Scientific Information Analyst at Alkermes

Postdoctoral Research Fellow 2008 thru 2013

Current: Disclosure Specialist

My research uses MR imaging-based approaches to non-invasively study biomechanical systems and to extract biomechanical information for understanding the systems and related pathologies.

Postdoctoral Research Fellowship 2004 thru 2006

Current: Visiting Assistant Professor at The University of Tulsa

Graduate Student 2014 thru 2017

Current: Scientific Associate Director - Clinical Imaging at Bristol Myers Squibb

Graduate Student/Postdoctoral Fellow 2007 thru 2017

Current: Program Manager of the Collaborative for STEM Education and Outreach at Vanderbilt University

2002 thru 2004

Current: Research Scientist, Vital Images, Minneapolis

My area is about the rf coil system of the MRI

Flexible 7T receive coil
Brain and spinal coil

I'm interested in developing and applying MRI methods in cancer and other diseases.

Core Faculty

Current: Professor, Zhejiang University Interdisciplinary Institute of Neuroscience and Technology

Graduate Student 2004 thru 2010

Current: Assistant Professor at The Johns Hopkins University School of Medicine

Post doctorate 2021 thru 2025

Current: Senior Data Analyst at Children's Hospital Los Angeles.

My research is focused on development of magnetic resonance spectroscopy (MRS) and identification of metabolic imaging biomarkers in brain cancers.  Technical development is performed with tailoring of traditional MRS sequences, triple-refocusing MRS, and J-difference editing at 3T and 7T, along with high-resolution 3D spectroscopic imaging.  Metabolites of interest include 2-hydroxyglurate (2HG), glycine, GABA, glutamate, glutamine, glutathione, lactate, etc.

We carry out or plan to conduct several projects in collaboration with clinicians.  1) Translation of MRS into clinics.  A brain tumor MRS pipeline can enable clinicians to non-invasively assess the cellular and genetic alterations in brain cancers.  2) Brain cancer biomarker study.  We examine association of metabolite levels with cancer cell proliferation, treatment response, and clinical outcomes.  3) Real-time metabolism study.  We aim to identify the sources of metabolic alterations in brain tumors by measuring the changes in 1H MRS signals following administration of 13C labeled substrates in patients.  4) Deep-leaning MRS.  We aim to build up a fast MRS analysis algorithm that can provide user-independent quantification of metabolites in gliomas.  5) MRS in neuro-psychiatric disorders.  We use optimized MRS to identify metabolic alterations in schizophrenia, asthma, and depression.

Postdoctoral Research Fellow 2019 thru 2022

Current: Post-doctoral Fellow at the University of Nottingham

Graduate Student Researcher 2006 thru 2012

Current: Counseling for Couples and Women at Mariam Coaster Therapy

Graduate Research Assistant 2008 thru 2011

Current: Director, Population Health and Patient Engagement Portfolio at Vanderbilt University Medical Center

Ph.D Physics, 2009

Current: Imaging Research Scientist at Vanderbilt University Institute of Imaging Science

Research Fellow Trainee

Current: University College London, Queen Square Multiple Sclerosis Center, London, United Kingdom

Research Assistant II 2013 thru 2016

Current: Senior Data Scientist at Ascension

Core Faculty 2002 thru 2021

Current: Director of Clinical Imaging Research at Carle Foundation Hospital

Postdoctoral Research Fellow

Current: The Vanderbilt Education and Brain Research Laboratory as the Associate Director

Graduate Student

Current: Medical Physics Resident, Radiation Oncology Michigan Medicine, University of Michigan

Postdoctoral Research Fellow

Current: Postdoctoral Research Associate at Max Planck Institute for Neurological Research, Cologne, Germany

Current: Professor of Neurology, Assistant Vice Chair Research, Department of Neurology Vanderbilt University Medical Center, CEO and President, Biosight LLC

Postdoctoral Research Fellowship, Completed in 2007

Current: Researcher at Vanderbilt

Graduate Student, Postdoctoral Fellow, Research Instructor, Associate Director of Center for Human Imaging 2002 thru 2016

Current: Assistant Professor, Dell Medical School at the University of Texas at Austin

MD/PhD Student, Completed PhD September 2013

Current: Assistant Professor of Psychiatry, University of Pittsburgh

Postdoctoral Research Fellowship

Current: Research Scientist at Vanderbilt

Graduate Student, Master of Imaging Sciences 2023 thru 2024

Graduate Student, Completed in 2013

Current: Instructor in Radiology at Massachusetts General Hospital, Harvard Medical School

Post Doctoral Research Fellow 2012 thru 2016

Current: Program Officer at National Institute of Neurological Disorders and Stroke (NINDS), Division of Clinical Research (DCR)

Postdoctoral Research Fellowship, Completed 2011

Current: Principal Engineer, MR System Tools GE Healthcare

Graduate Student 2011 thru 2015

Current: Graduate Student, The Barrow Neurological Institute

Graduate Student/Post Doctoral Fellow 2011 thru 2016

Current: Research Scientist, RTI International

Graduate Student/Post Doctoral Fellow 2010-2016

Current: Senior Business Intelligence Developer at Newsela

Graduate Student, Spring 2012

Current: Patent Examiner at USPTO

Our research focuses on the development, characterization, and application of MRI methods for quantifying tissue parameters, most importantly exchange between tissue water and macromolecules and metabolites. Such methods have their greatest application in imaging multiple sclerosis (MS).

We are currently working on developing and applying methods for measuring spin exchange, including developing new methods to detect tissue exchange sites (such as amides) using chemical exchange saturation transfer (CEST) and T1p. Also, we are applying quantitative magnetization transfer (qMT) methods to a rat model of multiple sclerosis in order to determine the method's sensitivity to myelin. This work may result in improved methods for research and clinical imaging.

Graduate Student 2010 thru 2012

Current: Data Engineer Consultant, CGI

Postdoctoral Research Fellow 2020 thru 2022

Current: Postdoc, Neuroimaging & Brain Dynamics Lab, Vanderbilt University

Postdoctoral Research Fellow 2018 thru 2022

Current: Neurosurgery Resident, University of California, San Diego

Graduate Student, Biomedical Engineering

Current: Postdoctoral Research Fellow in VMAC (Vanderbilt Memory and Alzheimer’s Center)

Graduate Student, BRET - QCB

Graduate Degree and Postdoctoral Research Fellowship, 2001 thru 2006

Current: Executive Director, Scientific Affairs, Axsome Therapeutics, Inc

Graduate Degree, Completed in 2011

Current: Head of Data Science, Google Nest

Graduate Student 2017 thru 2023

Current: Electromagnetic Engineer, Remcom Inc

Research Assistant 2014 thru 2016

Current: Principal EngineerPrincipal Engineer, Evolve Medtech Partners

Postdoctoral Research Fellowship

Current: Scientific Staff Member, Central Committee on Research Involving Human Subjects (CCMO)

Graduate Student 2001 thru 2007

Current: Associate Director, Regulatory Affairs at Allucent

Postodoctoral Fellow 2017

Current: Senior Scientist, Revegen Corporation

Post-Doctoral Research Fellow, 2012

Current: Postdoctoral Fellow at University of Cape Town

Graduate Student/Post Doctoral Fellow 2007 thru 2016

Graduate Student 2011 thru 2016

Current: Research Scientist at the Oden Institute for Computational Engineering and Sciences at The University of Texas 

Graduate Student 2012 thru 2017

Current: Vice President, AI Research & Development at Proscia

Graduate Degree

Current: Research Physicist at Air Force Research Laboratory

Post-Doctoral Research Fellow 2012

Current: Associate Director (MRI) in ImageTech Lab at Simon Fraser University

Research Fellow Trainee

Current: Postdoctoral researcher

Post-Doctoral Research Fellow 2012

Current: Principal Professional, Strategic Planning Group at Samsung Electronics

Postodoctoral Research Fellowship 2013 thru 2015

Current: Clinical Scientist at Philips

Graduate Student 2012

Current: Senior Director, Decision Sciences at Epsilon

Graduate Student 2011 thru 2017

Current: Medical Student in Medical Innovators Development Program at Vanderbilt University School of Medicine

Graduate Student 2017 thru 2022

Current: Research Fellow at Barrow Neurological Institute

Yashwant Kurmi is a researcher with expertise in image processing and machine learning, particularly in the areas of deep learning and chemical exchange saturation transfer (CEST) imaging. He has authored several papers on MRI imaging, including amide proton transfer (APT) imaging in tumors using a machine learning approach, and quantitative CEST molecular MR imaging.

Deep learning based CEST MR image enhancement and the quantification. 

Postdoctoral Research Fellow 2010 thru 2012

Current: STEM Technical Leader at U.S. Department of Defense

Post-Doctoral Fellow 2008 thru 2014

Current: PSD/Applications Engineer at GE Healthcare

Postdoctoral Research Fellow 2005 thru 2009

Current: Professor, University of Electronic Science and Technology of China

Graduate Student/Post Doctoral Fellow 2011 thru 2017

Current: Imaging Physicist and Research Assistant, Nemours Alfred I. duPont Hospital for Children

Graduate Student/Postdoctoral Research Fellow 2012 thru 2017

Current: Executive Vice President, R&D, BD & Investment, Kongsun Tairan Healthcare Group

Fellow, 2002 thru 2007

Current: Applied Computer Vision Scientist, Amazon Robotics, Boston, MA

I am a part-time master's student in Master of Imaging Science (MIS) and also work as a lab manager. The MIS program has been incredibly beneficial for me, fitting seamlessly into my schedule while providing opportunities for personal and professional growth. It allows me to enhance my skills and knowledge while I continue my work in the lab.

I work to visualize high resolution structures of various biological samples, including neuronal cells, bacterial cells and purified proteins, using cryogenic electron microscopy (cryo-EM).

Postdoctoral Research Fellowship 2008 thru 2009

Current: Senior Data Scientist, Florey Institute of Neuroscience and Mental Health, University of Melbourne

Postdoc Fellow 2015 thru 2018

Current: Assistant Professor, Department of Chemistry and Biochemistry, National Chung Cheng University, Taiwan

Computational research assistant that focuses on analysis of genomics data. I am interested in applying imaging data in machine learning and integrating imaging with genomics. I am currently in the masters program to get better understanding of how medical imaging is done and it's applications in research

Graduate Degree 2004 thru 2007

Current: Equipment Maintenance Engineer at Varex Imaging Corporation

Postdoctoral Research Fellowship 2005 thru 2008

Current: Imaging Research Staff Scientist at Vanderbilt University Institute of Imaging Science

My interest is to help develop MR imaging methods in research and clinical settings.

My current project with Dr. Dan Gochberg is to develop CERT imaging methods to detect biophysical and biochemical changes in muscle and cancer tissues.

Graduate Student 2006 thru 2010

Current: Faculty Lecturer in Intelligent Systems Engineering, Indiana University

Postdoctoral Research Fellowship 2002 thru 2005

Current: Research Assistant Professor, Rutgers Robert Wood Johnson Medical School, Rutgers University

Graduate Student

Current: Research Assistant, Vanderbilt University

Postdoctoral Research Fellow 2007 thru 2011

Current: Professor of Radiology at Thomas Jefferson University Hospitals

Research Analyst

Current: Pediatric Surgery Research Fellow, Children's Hospital Colorado

Graduate Student 2011 thru 2016

Current: Assistant Professor, Imaging Research Center at Cincinnati Children's Hospital Medical Center

Postdoctoral Research Fellowship 2004 thru 2006

Current: Professor, Department of Cancer Systems Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX

Graduate Student 2017 thru 2023

Current: Postdoctoral Researcher, Physics for Medicine Paris, INSERM

Postdoctoral Research Fellow

Postdoctoral Research Fellowship

Current: Research Associate Professor, Vanderbilt University

Graduate Student, Master of Imaging Sciences 2023 thru 2024

Postdoctoral Research Fellowship 2002 thru 2008

Current: Assistant Professor and Program Director, Center for Drug Safety and Immunology, Vanderbilt University Medical Center,Division of Infectious Disease

Graduate Student 2011 thru 2016

Current: Associate Director - MSL Neuroscience, Eli Lilly and Company

MD/PhD Candidate 2011 thru 2015

Current: Surgery, Vascular & Interventional Radiology, Massachusetts General Hospital.

Graduate Degree

Current: Physicist, Pacific Northwest National Laboratory

In loving memory

October 3, 1988 ~ February 14, 2022

Graduate Student, Vanderbilt University School of Medicine, MD/PhD program 2013 thru 2016

Postdoctoral Research Fellow 2020 thru 2022

Project Manager 2015 thru 2017

Current: Senior Development Engineer II at ZimVie

Research Fellow 2012

Current: Imaging Research Staff Scientist, Vanderbilt University Institute of Imaging Science

Postdoctoral Research Fellow 2009 thru 2010

Current: Director of Product Management

Postdoctoral Research Fellowship 2010 thru 2013

Current: Associate Professor of Nursing, The Ohio University College of Nursing

Postdoctoral Research Fellowship, 2013

Current: Imaging Research Staff Scientist, 7 Tesla MRI Research Manager, Vanderbilt University Institute of Imaging Science

Graduate Degree

Postdoctoral Research Fellow 2019 thru 2021

Current: Senior Algorithm Engineer II at Tandem Diabetes Care

I work with Dr. Kristin O'Grady to support the acquisition and analysis of MRI and sensorimotor data. My focus is applying quantitative and functional imaging techniques, specifically fMRI and DTI, in the spinal cord to investigate sensorimotor and urinary dysfunction in patients with multiple sclerosis.

Graduate Degree

Current: Associate Professor of Radiology & Radiological Sciences and Pediatrics, Vanderbilt University Institute of Imaging Science

Postdoctoral Fellowship 2009 thru 2011

Current: Associate Professor of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis

Graduate Degree

Current: Diagnostic Radiology at Boise Radiology Group

Postdoctoral Research Fellow 2002 to 2005

Current: Assistant Professor in Radiation Oncology at Vanderbilt University

Postdoctoral Research Fellow 2012 thru 2017

Postdoctoral Research Fellow/Imaging Research Scientist 2005 thru 2010

Current: Research Scientist Reactor-produced Medical Isotopes, The University of Texas at Austin

Postdoctoral Fellow 2012 thru 2015

Current: Senior Project Manager, Department of Biomedical Informatics, Vanderbilt University Medical Center

Research Fellow 2003 thru 2007

Current: Professor of Radiology & Pediatrics and MR Physicist, University of Arkansas for Medical Sciences, Little Rock, AK

Graduate Student 2020 thru 2023

Current: Junior Software Engineer, Deka Research & Development

My research has two major thrusts: 1.) the development of high-resolution, multi-pinhole SPECT capabilities, and 2.) the use of CT, SPECT, and PET in preclinical research studies across a wide range of applications.

We are developing novel semiconductor radiation detector technology for use in innovative multi-pinhole SPECT systems. 2.) We are involved in a number of collaborative projects in which we our role is to refine and validate image acquisition and analysis techniques to improve quantitative PET and SPECT capabilities.

Postdoctoral Research Fellow 2019 thru 2021

Current: Scientific Program Manager at the VUMC Office of Research

Graduate Degree 2007 thru 2013

Current: Senior Clinical Scientist at Philips

I am interested in applying magnetic resonance imaging techniques in clinical scenarios to better patient outcomes and influence clinical decision-making. I have experience in research projects including peripheral nerve trauma, language cognition, and brain/cardiac imaging in neurodegenerative disease. I also have interest in data integrity and processing techniques.

My current projects in the Crescenzi laboratory include applying multi-nuclear MRI to patient populations with salt sensitivity, lipedema, and/or lymphedema. Current projects include comparing data acquisition methods, data analysis for sodium imaging, and working with datasets across multiple collaborations.

Graduate Student 2000 thru 2006

Current: Associate Professor of Radiology and Radiological Science, John Hopkins University

Associate Professor of Radiology and Radiological Sciences, Biomedical Engineering, Physics and Astronomy, Cancer Biology and Chemical and Physical Biology 2004 thru 2015

Current: Professor of Cancer Systems Imaging and Director of the Translational Neuroimaging Innovation Program, University of Texas MD Anderson Cancer Center

Postdoc at VUIIS 2/22 thru 8/22.

Current: Instructor and Resident Scientist, Vanderbilt Collaborative for STEM Education and Outreach

Research Instructor 2009 thru 2015

Current: Associate Professor, Director, Diagnostic Imaging Sciences Center at University of Washington Medical Center

Postdoctoral Fellow 2013-2015

Current: Associate Director at Johnson & Johnson

Gradaute Student 2018 thru 2021

Post-Doctorate Fellow 2016 thru 2018

Current: Associate Director of Small Business Risk and Analysis in the Department of Defense Office of Small Business Programs

Postdoctoral Research Fellowship 2011 thru 2012

Current: Research Assistant Professor of Biomedical Engineering & Radiology at the University of Arizona Cancer Center

Postdoctoral Research Fellow 2004 thru 2006

Current: Research Professor of Radiology and Radiological Sciences, Biomedical Engineering, and Psychiatry and Behavioral Sciences at Vanderbilt University Institute of Imaging Science

Research Fellow 2008 thru 2011 

Current: Lead Clinical Scientist - Precision Diagnosis, ISC at Philips Healthcare, Gurgaon, India

I am interested in using neuroimaging (e.g., fMRI and diffusion MRI) to study and improve treatments for neurological disorders

Postdoctoral Fellow 2010 thru 2013

Current: Jack H Neely Associate Professor of Psychology & Neuroscience at Duke University

Postdoctoral Research Fellowship 2004 thru 2009

Current: Adjunct Assistant Professor Dept of Rehab Med. University of Minnesota

I am interested in using computational methods to advance quantitative clinical care, ranging from medical image acquisition to prognostic modeling. I am especially focused on clinical AI safety and integrating physics principles with data-driven modeling.

My past research focused on developing uncertainty quantification methods for deep learning-based medical image analysis. Moving forward, I plan to expand into broader areas of AI safety, particularly as they relate to generative modeling and MRI. Here, I hope to connect data-driven approaches with image acquisition physics principles to improve the control, reliability, and utility of synthetic image generation.

Publications

https://iopscience.iop.org/article/10.1088/1361-6560/add9df/meta

https://jnm.snmjournals.org/content/66/4/565.abstract

https://link.springer.com/chapter/10.1007/978-3-031-73158-7_12

https://link.springer.com/article/10.1007/s00259-024-06767-x

https://iopscience.iop.org/article/10.1088/1361-6560/ad611d/meta

Postdoctoral Fellow/Research Instructor 2013 thru 2018

Current: Assistant Professor, Radiology and Imaging Sciences at Indiana University School of Medicine

Graduate Student 2013 thru 2017

Current: Product Manager at LiveSchool

Postdoctoral Fellow 2006 thru 2015

Current: Medical Imaging Research Specialist at Barrow Neurological Institute

Graduate Student, Postdoctoral Fellow 2005 thru 2015

Current: Research Associate Professor of Radiology and Radiological Sciences, Vanderbilt University Institute of Imaging Science

Graduate Student 2018 thru 2023

Current: Clinical Applications Specialist at INSIGHTEC

Graduate Student 2017 thru 2022

Current: Clinical R&D Specialist at INSIGHTEC

Some of my current work includes cancer imaging, radiomics, data science, deep learning, parallel computing, optimization, applied math, physics, astronomy, and astrobiology.

Graduate Student 2020 thru 2023

Current: Research Associate (Postdoctoral) at Case Western Reserve University 

I'm interested in the physiologic mechanisms of salt handling and how the lymphatics system plays a role in tissue sodium storage to make contributions in cardiovascular health. I work with multi-nuclear magnetic resonance imaging methods to better understand these relationships and to explore the biological basis of sodium MR signal.

I am interested in bridging the research gap between engineers and physicians to improve patient care. At VUMC I partake in imaging research applied to autoimmune diseases and polytraumatic injuries.

I am interested in neuroimaging and using novel MRI imaging techniques to better understand the pathophysiology of disease in the brain and spinal cord.

Currently I research developing advancements in MRI methods for the detection and quantification of pathologies affecting the spinal cord and optic nerve related to MS. 

Post doctorate 2004 thru 2006

Current: Director – CIVIT, Center for In Vivo Imaging and Therapeutics at St. Jude Children’s Research Hospital

My research focuses on developing novel methods to quantify Chemical Exchange Saturation Transfer (CEST) MRI using machine learning and deep learning, and applying these methods to tumors, ischemic stroke, muscle diseases, and other pathologies.

My current projects include

1. Developing a framework for partially synthetic data generation to train deep learning models for CEST MRI applications. These models are used to improve imaging in brain tumors, ischemic stroke, and muscle disorders such as ALS. This work has also been extended in our lab to improve the quantification of a newly identified nuclear Overhauser enhancement (NOE) signal at -1.6 ppm, which shows potential for detecting tumors and stroke. In addition, our lab works on enhancing the quality and SNR of CEST images using deep learning, with the aim of achieving more reliable quantification and enabling clinical translation.
2. Applying advanced techniques such as double saturation power CEST (DSP-CEST) to enable rapid and specific quantification of CEST signals.
3. Applying CEST MRI across different pathologies, with ongoing studies extending into Alzheimer's disease.

Publications:

Viswanathan M, Yin L, Kurmi Y, Zu Z. Machine learning-based amide proton transfer imaging using partially synthetic training data. Magn Reson Med. 2024; 91: 1908-1922. doi: 10.1002/mrm.29970

Viswanathan M, Yin L, Kurmi Y, Afzal A, Zu Z. Enhancing amide proton transfer imaging in ischemic stroke using a machine learning approach with partially synthetic data. NMR in Biomedicine. 2025; 38(1):e5277. doi:10.1002/nbm.5277

Viswanathan M, Kurmi Y, Zu Z. Nuclear Overhauser enhancement imaging at −1.6 ppm in rat brain at 4.7T. Magn Reson Med. 2024; 91: 615-629. doi: 10.1002/mrm.29896

Viswanathan M, Kurmi Y, Zu Z. A rapid method for phosphocreatine-weighted imaging in muscle using double saturation power-chemical exchange saturation transfer. NMR in Biomedicine. 2024; 37(4):e5089. doi:10.1002/nbm.5089

Kurmi Y, Viswanathan M, Zu Z. Enhancing SNR in CEST imaging: A deep learning approach with a denoising convolutional autoencoder. Magn Reson Med. 2024; 92: 2404-2419. doi: 10.1002/mrm.30228

Assistant Professor, Scientific Manager, Human Imaging Core 2010 thru 2017

Current: Vice President of Clinical Partnerships at InkSpace Imaging

Postdoctoral Researcher 2022 thru 2022

Current: Engineer II, MRI at Abbott

I am interested in neuroimaging and using novel MRI imaging techniques to better understand the pathophysiology of disease in the brain and spinal cord.

I work at VUIIS in the Cellular and Molecular Imaging research area.

I design and engineer novel report system for apoptosis drug screening.  I also develop aptamers or peptides against tumor markers and application of aptamers or peptides in guide imaging probe(s) in the application of monitoring tumor genesis and valuating therapeutic effectiveness.

Postdoctoral Fellow 2019 thru 022  

Current: Associate professor at West China Hospital

Research Fellow 2020 thru 2022

Current: Lead Systems at GE Healthcare