About Me
This is Mohammad Jafari.
Currently, I work as the Head of AI and Software -
Computational Design at Aspect
Biosystems, a Canadian company driving advancements in
bioprinting tissue therapeutics. I graduated with my PhD from
the University of British Columbia (UBC), Vancouver, where I
worked under the supervision of Profs. Purang Abolmaesumi, Robert
Rohling, and Teresa
Tsang, researching robust machine learning methods for
healthcare data analysis. After PhD, I worked at Harvard
Medical School as a machine learning scientist, working under
supervision of Profs. Tina
Kapur, Sandy
Wells, and Ofer
Pasternak at Harvard's Laboratory of
Mathematics in Imaging, researching design and
development of robust deep learning models for multi-modal
image and video analysis and healthcare data mining. I
finished my MSc and BSc in software engineering at IUT, where
I worked under supervision of Prof. Shadrokh Samavi in collaboration
with Prof. Kayvan
Najarian at University of Michigan, Ann Arbor,
developing machine learning algorithms for computer-assisted
diagnosis of skin cancer.
Google Scholar
LinkedIn 
ResearchGate
Semantic Scholar 
DBPL
Contact me:
mh.jafari.71@gmail.com
mohammadj@aspectbiosystems.com
mohammadj@ece.ubc.ca
Research Interests
I am passionate about
multi-modal machine learning, foundation models, and data
science. My research keywords are listed below.
Technical research
keywords: Computer Vision, Deep Learning,
Semi-supervised Learning, Self-supervised Learning,
Spatio-temporal Deep Models, Generative Models, LLMs,
Adversarial Training, Image Quality Improvement, Generative
Adversarial Networks, Predictive Uncertainty, Data Mining,
Knowledge Discovery, Big Data in Healthcare.
Clinical research keywords: AI Accelerated Therapeutics, Therapeutics Discovery, T1D, Cardiac Disease, Brain Disease, Echocardiography, X-Ray, MRI, Data Quality Assurance, Medical Imaging, Electronic Health Record.
Education
Research
Fellow - Machine Learning
Harvard Medical School, USA. (2021- 2022)
PhD,
Electrical & Computer Engineering - Machine Learning
UBC, Vancouver, Canada. (2017- 2021)
GPA: 4.33/4, A+, (1st-Class Standing)
MSc,
Computer Engineering - Software
IUT, Iran. (2014 - 2017)
GPA: 4.0/4, (Ranked 1st among 30)
BSc,
Computer Engineering - Software
IUT, Iran. (2010 - 2014)
GPA: 3.70/4, (Ranked 3rd among
100)
 |
Receiving the Governor
General's Gold Medal |
 |
Recording lectures of the EECE 571T course titled "Advanced Machine Learning Tools for Engineers" with Prof. Yedlin at UBC studios. Lectures available on YouTube |
 |
Honored to be
the recipient of the ImFusion Artificial
Intelligence Translational Medicine Award,
Rennes, France. More |
|
UBC RCL Group at MICCAI
Conference |
Office
address:
1750 W
75th Ave
Vancouver, BC V6P
6G2
Canada