Biomedical Imaging & Technology PhD Training Program Students & Alumni | NYU Langone Health

Skip to Main Content
Biomedical Imaging & Technology PhD Training Program Biomedical Imaging & Technology PhD Training Program Students & Alumni

Biomedical Imaging & Technology PhD Training Program Students & Alumni

Students in NYU Grossman School of Medicine’s Biomedical Imaging and Technology PhD Training Program hail from a variety of backgrounds. Current and past students joined our program with prior undergraduate and graduate training in fields that include biology, bioengineering, cognitive science, computer science, medicine, and physics.

Since its founding in 2006, our PhD program has consistently trained independent, collaborative scientists in the highly interdisciplinary domain of medical imaging research. During training, students have made significant contributions to the development of novel imaging methods, some of which are now used in clinics around the globe. Collectively, our students have authored and co-authored scores of scientific articles in peer-reviewed journals, presented findings in talks at international scientific meetings, won accolades for original research, and secured start-up funding through entrepreneurial competitions.

Upon graduation, our alumni are highly qualified to take jobs in academia or industry. To date, 18 people have earned PhD degrees in the program. One person left the program after earning an MS degree, and four PhD graduates have obtained academic faculty appointments. Others have entered the private sector as research scientists and engineers, joined biotech or financial consultancies, pursued postdoctoral specialization, or enrolled in medical training.

Biomedical Imaging and Technology PhD Training Program Current Students

Jonghyun Bae, MSc
Anna Chen, BS
Zhengnan Huang, MSc
Carlotta Ianniello, MSc
Chenyang Li, MSc
Ying Liao, BA
Faye McKenna, MSc
Jungkyu Park, MS
Sarah Shaykevich, BS
Jonathan Shor, MSc
Yu Veronica Sui, MA
Zhe Sun, MD, MS
Zidan Yu, MSc

Biomedical Imaging and Technology PhD Training Program Alumni

Alumni from our program have gone on to hold research and development positions in academia and industry.

2019

Hong-Hsi Lee, MD, PhD
Thesis: Revealing Brain Microstructure with Time-Dependent Diffusion MRI

Gregory Lemberskiy, PhD
Thesis: Time-Dependent Diffusion in the Body

Harikrishna Rallapalli, PhD
Thesis: Manganese-enhanced MRI (MEMRI) for Longitudinal Study of Cerebellar Disease in Mice

2018

Gillian Haemer, PhD
Thesis: Optimizing Radiofrequency Coil Performance for Parallel Magnetic Resonance Imaging at Ultra High Field: Evaluation and Optimization of Integrated High Permittivity Materials

Nicole Wake, PhD
Thesis: Three-Dimensional Anatomical Models Derived from Radiological Imaging Data: Creation and Application in Kidney and Prostate Cancer

2017

Gang Chen, PhD
Thesis: From Surface Loop Coil to Dipole Antenna: Radiofrequency Coil Designs Inspired by Ideal Current Patterns for High-Sensitivity MRI at High Magnetic Field Strength

Manushka Vaidya, PhD
Thesis: Steering Electromagnetic Fields in MRI: Investigating Radiofrequency Field Interactions with Endogenous and External Dielectric Materials for Improved Coil Performance at High Field

2016

Jeiran Jahani, PhD
Thesis: A Global Approach to Tracer Dynamics

2015

Li Feng, PhD
Thesis: Rapid and Continuous Magnetic Resonance Imaging Using Compressed Sensing

Giselle Alexandra Suero-Abreu, PhD
Thesis: In Vivo Imaging Approaches to Study Tumorigenesis in Preclinical Cancer Models

2014

Leeor Alon, PhD
Thesis: Radiofrequency Energy Quantification in Magnetic Resonance Imaging

Gene Young Cho, PhD
Thesis: Noninvasive Analysis of the Tumor Microenvironment of Breast Cancer Using DiffusionMRI

Kamila Szulc, PhD
Thesis: In Vivo Imaging of Early Mouse Brain Development

2013

Megan McGill, PhD
Thesis: Structural and Functional Abnormalities on Magnetic Resonance Imaging in Idiopathic Generalized Epilepsy

Vishal Patil, PhD
Thesis: Towards Absolute Quantification of Perfusion Using Dynamic, Susceptibility-Weighted, Contrast-Enhanced (DSC) MRI

William E. Wu, PhD
Thesis: Quantitative Three-Dimensional Multivoxel 1H-MRSI of In Vivo Metabolism in a Rhesus Macaque Model of HIV-Associated Neurocognitive Disorders

Leslie Xiaodan Yan, PhD
Thesis: Neural Characteristics of Post-Traumatic Stress Disorder: Functional Magnetic Resonance Imaging Studies of Combat Veterans

Alicia Yang, MS
Research area: rapid musculoskeletal imaging with compressed sensing

2012

Cem Murat Deniz, PhD
Thesis: MR Radar: Parallel Radiofrequency Transmission in Principle and Practice