Curriculum Vitae

Download full CV (PDF) Last updated September 26, 2025

Appointments

• Nov 2026 – present
  Assistant Professor
  Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD
  Nuclear medicine imaging, medical image analysis, deep learning.
• Apr 2024 – Oct 2026
  Instructor
  Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD
  Nuclear medicine imaging, medical image analysis, deep learning.
• Jan 2023 – Mar 2024
  Research Associate (Faculty)
  Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD
  Nuclear medicine imaging, medical image analysis, deep learning. Supervisor: Dr. Yong Du.
• Sep 2017 – Dec 2022
  Graduate Research Assistant
  Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD
  Nuclear medicine image segmentation, denoising, and quantitative accuracy. Advisor: Dr. Eric C. Frey.
• Jun 2020 – Oct 2021
  PET Image Reconstruction and Quality Scientist Intern
  Canon Medical Research USA, Inc., Vernon Hills, IL
  PET image denoising, transfer learning, and domain adaptation for deep neural networks. Mentors: Dr. Chung (Jan) Chan and Dr. Evren Asma.
• May 2016 – Jul 2017
  Undergraduate Research Assistant
  North Carolina State University, Raleigh, NC
  Real-time ECG peak detection and adaptive filter design for ECG signals. Supervisor: Dr. Edgar Lobaton.
• Aug 2016 – Dec 2016
  Undergraduate Research Fellow
  NSF Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), Raleigh, NC
  Peak-detection algorithms for ECG: QRS and P-wave detection, heart-rate estimation.
• Jun 2015 – Aug 2015
  Application Engineer Intern
  Analog Devices, Inc., Greensboro, NC
  Wireless Communication Group: RF performance measurements for transceiver products. Supervisor: Kenny Man.

Education

• 2022
  Ph.D. in Electrical & Computer Engineering, Johns Hopkins University
  Advisor: Dr. Eric C. Frey
• 2019
  M.S.E. in Electrical & Computer Engineering, Johns Hopkins University
• 2017
  B.Sc. in Computer Engineering and B.Sc. in Electrical Engineering, summa cum laude, North Carolina State University

Honors & awards

• 2026
  Stanford/Elsevier World's Top 2% Scientists list
• 2024
  Forbes 30 Under 30, Healthcare
• 2024
  Google Cloud faculty research credit
• 2023, 2024
  Gold-level distinguished reviewer, IEEE Transactions on Medical Imaging
• 2023
  Outstanding reviewer (honorable mention), MICCAI 2023
• 2023
  Johns Hopkins Discovery Award
• 2023
  IEEE NSS/MIC/RTSD Trainee Grant
• 2022
  SNMMI Student Research Grant Award: Discovering Molecular Imaging
• 2019–2022
  Fully funded graduate assistantship, Radiological Physics Division, Johns Hopkins Medical Institutions

Professional service

• 2025 – 2027
  Non-voting member, Board of Directors, SNMMI Physics, Instrumentation & Data Sciences Council (PIDSC)
• 2024, 2025
  Co-organizer, Learn2Reg medical image registration challenge, MICCAI
• Ongoing
  Committee member, MICCAI Special Interest Group in Biomedical Image Registration (SIG-BIR)

Peer review

Verified record on Web of Science.

Teaching

• Fall 2025, 2026
  Course Instructor, Medical Imaging Systems (ME.420.710), Johns Hopkins University
• Fall 2019 – 2022
  Teaching Assistant, Medical Imaging Systems (EN.520.432 / EN.580.472 / EN.520.632), Johns Hopkins University
• Spring 2019
  Course Assistant, Medical Image Analysis (EN.520.433 / 623), Johns Hopkins University
• Spring 2017
  Teaching Assistant, Electric Circuits (ECE 211), North Carolina State University

Lecture notes and recordings are on the Teaching page.