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Eric Tkaczyk

Research Focus

Dr. Tkaczyk is a physician-scientist with research interests in biophotonics for diagnosis and treatment of skin diseases. He is a graduate of the MD/PhD at the University of Michigan, with PhD in electrical engineering from the Center for Ultrafast Optical Science (CUOS). At CUOS, he overlapped with his academic grandfather Gerard Mourou, the 2018 Nobel Laureate who founded the lab.  Dr. Tkaczyk's post-doctoral training in medical device design at the University of Tartu was supported by Fulbright and Whitaker awards. This work culminated with a prize awarded by the US Ambassador to Estonia and the Estonian Speaker of Parliament at the 2011 Estonian-American Innovation Award ceremony. In 2016, he completed dermatology residency training at Vanderbilt University Medical Center, where he is Assistant Professor of Dermatology and Biomedical Engineering.  He is also an attending dermatologist at the VA Medical Center. He is board-certified to practice dermatology both in the USA and in Europe. As Founding Director of the Vanderbilt Dermatology Translational Research Clinic , he lectures internationally on dermatologic imaging technologies, which is his research focus.



  • Noninvasive skin biopsies with reflectance confocal microscopy (RCM)
  • Noninvasive imaging of human leukocyte dynamics
  • 3D, colorimetric, and hyperspectral imaging of rashes
  • Artificial intelligence and crowd sourcing for photo analysis 
  • Skin biomechanical measurements in sclerosing disease



Post-Doctoral Scholars

  Name Email Research
Image result for inga saknite

Inga Saknite, PhD

  • Confocal imaging of human leukocyte dynamics
  • Hyperspectral imaging of skin rashes


Research Assistants

  Name Email Research
Image result for Fuyao Chen (Joanna) vanderbilt

Fuyao Chen (Joanna)

  • 3D, colorimetric, and hyperspectral imaging of rashes
  • Skin biomechanical measurements in sclerosing disease

Graduate Students

  Name Email Research
Jianing Wang Jianing Wang, M.S.
  • Medical image processing, machine learning, computer-aided detection


Undergraduate Students

  Name Email Research
Kathy Z. Kathy Zhang kathy.zhang
  • Reproducibility of the Myoton device, measuring skin stiffness in patients with sclerosis  
  • Hyperspectral imaging of patients with chronic GVHD and hyperpigmentation
Zain Khera Vanderbilt Zain Khera zain.khera


Medical Students

  Name Email Research
Jocelyn S. Gandelman  Jocelyn Gandelman jocelyn.gandelman
  • Computational biology and machine learning tools to study graft vs. host disease and skin diseases

Laura Wang Vanderbilt Medical Laura Wang
  • Measuring skin sclerosis in GVHD patients
  • effects of ECP on skin biomechanical properties
  Laura Dellalana laura.e.dellalana



The following positions are all open. Where possible, additional projects can be created for exceptional candidates. Individuals interested to join the VCIC should email their CV/resume and most recent educational transcripts to:

Position Description
Post-Doctoral Research Fellow

Seeking post-doctoral scholars with computer science background. Click here for listing.

Post-Doctoral Research Fellow

Seeking post-doctoral scholars with clinical or biophotonics background background. Click here for listing.

Clinical Study Coordinator / Research Assistant

(2 positions open)

The Vanderbilt University Medical Center (VUMC) in Nashville, Tennessee is seeking a motivated, meticulous, and patient-oriented clinical / translational research coordinator to help advance skin imaging projects related to ongoing multicenter clinical trials in the stem cell transplant population.  Interest and experience in either quantitative technical work or medical photography are highly desirable for candidates. The new team member will coordinate clinical aspects of innovative projects bringing together experts from the Vanderbilt-Ingram Cancer Center (Madan Jagasia), Dermatology (Eric Tkaczyk), Computer Science (Benoit Dawant) and the Biophotonics Center within Biomedical Engineering (Anita Mahadevan-Jansen).  This environment brings together clinicians, basic scientists, engineers and statisticians in close collaboration due to its interdisciplinary research and close physical proximity of the School of Medicine to the School of Engineering (100-200 yards). Interested individuals should email their CV/resume and most recent educational transcripts to: