Medical & Imaging Informatics

Hooshang Kangarloo

Faculty Mentors

NIH/NIBIB T32 EB016640 

Program Directors
Alex Bui, PhD 
William Hsu, PhD 
William Speier, PhD 
Ashley Prosper, MD

Medical & Imaging Informatics’ signature graduate training program since 2002, this T32 supports PhD students interested in new approaches addressing the spectrum of research using new and emergent types of data from imaging, sensors, and other technologies to drive novel sights into the human condition. Coursework provides a breadth of understanding across areas of biomedical informatics and data science, and an introduction to cutting-edge computational methods for analysis and clinical decision support. Research spans from basic science to translational efforts.

Types of training: Doctoral training is presently limited to the UCLA campus and draws namely from UCLA DGSOM, HSSEAS, FPH, and the College Life Sciences Division.

Contact us to apply

MII outcomes by the numbers. Additional general information on UCLA PhD programs can be found at our institution's Graduate Program Statistics, and for postdocs, through the Postdoctoral Dashboard.

25+
Number of Trainees
85%
Graduates pursue scientific careers
100+
Publications

Current Trainees

  • Vedrana Ivezic, PhD student
    Vedrana Ivezic
  • Jeffrey Feng
    Jeffrey Feng
  • Micah Vinet
    Micah Vinet

Example Medical & Imaging Informatics projects | Past & Present

Our trainees work on a range of basic science and translational research across domains. A sampling of recent projects is shown below.

Digital sensing tools, like smartphones and wearables, offer transformative potential for mental health research by enabling scalable, longitudinal data collection. Realizing this promise requires overcoming significant challenges including limited data standards, underpowered studies, and a disconnect between research aims and community needs.

  • Akre S, Cohen ZD, Welborn A, Zbozinek TD, Balliu B, Craske MG, Bui AAT. Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance. NPJ Digit Med. 2025 Feb 9;8(1):92. doi: 10.1038/s41746-025-01493-6. PMID: 39924572; PMCID: PMC11808080.
  • Akre S, Seok D, Douglas C, Aguilera A, Carini S, Dunn J, Hotopf M, Mohr DC, Bui AAT, Freimer NB. Advancing digital sensing in mental health research. NPJ Digit Med. 2024 Dec 18;7(1):362. doi: 10.1038/s41746-024-01343-x. PMID: 39695319; PMCID: PMC11655837.
  • Zheng HW, Ranganath VK, Perry LC, Chetrit DA, Criner KM, Pham AQ, Seto R, Vangala S, Elashoff DA, Bui AAT. Evaluation of an automated phenotyping algorithm for rheumatoid arthritis. J Biomed Inform. 2022 Nov;135:104214. doi: 10.1016/j.jbi.2022.104214. Epub 2022 Oct 8. PMID: 36220544; PMCID: PMC10226612.

Past Trainees

  • Bill Speier
    William Speier, PhD
  • Jennifer Polson
    Jennifer Polson, PhD
  • David Gordon
    David Gordon
  • Davina Zamanzadeh, PhD
    Davina Zamanzadeh, PhD (Research Engineer, Cloudfare)
  • Henry Zheng
    Henry Zheng
  • Samir Akre
    Samir Akre, PhD
  • Carlos Olivares
    Carlos Olivares
  • Patrick Liu
    Patrick Liu
  • Maurine Tong 
  • Mary McNamara 
  • William Speier 
  • Nicholas Matiasz 
  • Nova Smedley 
  • Simon Han 
  • Anders O. Garlid 
  • Jennifer Polson 
  • David Gordon 
  • Davina Zamanzadeh 
  • Henry Zheng 
  • Samir Akre 
  • Carlos Olivares 
  • Patrick Liu