Curriculum Vitae
Full record
Education
PhD, Computer Science
University of Saskatchewan
Advisor: Debajyoti Mondal
Improving Deep Learning Classifiers for Plant Phenotyping using XAI Techniques
May 2024
MSc, Biomedical Engineering
University of Saskatchewan
Advisor: Fang-Xiang Wu
Machine Learning for the Diagnosis of Autism Spectrum Disorder
August 2019
BSc, Electronics & Communication Engineering
Khulna University of Engineering and Technology, Bangladesh
Advisor: A. B. M. Aowlad Hossain
Simulation Study on Nonlinear Ultrasound Imaging
May 2016
Experience
Postdoctoral Scholar
Stanford School of Medicine — Department of Radiation Oncology
Supervisor: Md. Tauhidul Islam
April 2025 — Present
- ·Developed Dynomap — an interpretable spatial-representation framework converting high-dimensional cfRNA and biomedical tabular profiles into image-like representations.
- ·Led liquid biopsy analyses across cfRNA cohorts including RARE-Seq, with focus on early detection, reduced panels, and biologically interpretable attribution.
- ·Designed multimodal architectures integrating molecular profiles with medical imaging to identify genetic programs linked to imaging phenotypes.
- ·Built graph-to-image and graph foundation model frameworks for heterogeneous, multi-omics, and cancer biology data.
Postdoctoral Associate
National Research Council Canada & University of Calgary
Supervisor: Sateesh Kagale (NRC) · Marcus Samuel (Calgary)
January 2024 — February 2025
- ·Contributed to a consortium-led pangenome project on de novo assembly of 65+ pea genomes.
- ·Led genomic analysis of 4,800 skim-sequenced lines: assembly, SNP calling, genotype imputation.
- ·Benchmarked DeepVariant against conventional SNP callers for the pea genome.
- ·Built deep-learning imputation models tailored to plant genomics.
Software Developer
Global Institute for Food Security
Supervisor: Steven Xu
January 2023 — September 2023
- ·Maintained and optimized a cross-team genomic database, reducing downtime by 98%.
Software Developer
Nutrien Ag Solutions
Supervisor: Zoe Ehlert
January 2022 — December 2022
- ·Engineered genomic data management solutions, dropping marker-assisted breeding error rates to 1%.
Mitacs Research Intern
Nutrien Ag Solutions
Supervisor: Ian Stavness · Zoe Ehlert
August 2021 — December 2021
- ·Designed a Django web platform for storing and analyzing genomic data across interdisciplinary teams.
Awards & funding
Google Cloud Platform Research Grant · Stanford School of Medicine
May 2026 — April 2027
Stanford Cancer Institute Innovation Award · Stanford School of Medicine
December 2025
University of Saskatchewan Departmental Scholarship · Computer Science
2020 — 2024
Plant Phenotyping & Imaging Research Center Grant · Global Institute for Food Security
2020 — 2024
Mitacs Business Strategy Internship · Mitacs Accelerate
2021 & 2022
Devolved Scholarship · Biomedical Engineering, USask
2017 — 2019
Faculty Scholarship · KUET, Bangladesh
2012 — 2016
Best Poster Award, Agriculture Research Day · USask
September 2023
Best Poster Award, First Runner-Up · 7th Symposium on Innovations in CS
September 2023
Best Poster Award · P2IRC Symposium
October 2021
GIFS Gracias Award · For outstanding Genguard development
October 2023
Patents
A Graph Foundation Model for Cross-Domain Node Representation Learning on Heterogeneous Graphs.
An End-to-End Deep Learning System for Transforming Tabular Data into Images for High-Performance Classification.
Selected talks
Invited
A Language-Encoded Structural Topology Enables Generalizable Foundation Models for Graph-Structured Data.
Stanford Cancer Institute Radiation and Cancer Biology Seminar Series
May 2026
Oral
Interpretable Integration of Molecular Omics and Medical Imaging for Disease Analysis.
AAPM Annual Meeting 2026, Vancouver, BC
July 2026
Seminar
XAI Solutions for Deep Learning Models in Plant Phenotyping.
Department of Computer Science, University of Saskatchewan
April 2024
Seminar
Deep Learning Solutions to Improve Plant Yield Using Multi-Omics Data.
NRC, Aquatic and Crop Resource Development
July 2023
Seminar
Ways of Incorporating Deep Learning in Detecting Autism Spectrum Disorder.
Division of Biomedical Engineering, USask
May 2019
Technical skills
Research areas
Interpretable AI · Cancer liquid biopsy · cfRNA / ctDNA modeling · Multimodal cancer AI · Diagnostic imaging integration · Digital pathology · Multi-omics integration · Graph foundation models · Spatial representation learning · Cancer genomics
Programming
Python · C++ · MATLAB · JavaScript · MySQL · SQL
Deep learning
PyTorch · TensorFlow · Keras · Scikit-learn
Scientific computing
NumPy · Pandas · NetworkX · iGraph · PIL · OpenCV
High-performance computing
Slurm clusters · Multi-GPU distributed training · Snakemake workflows
Web & database
Django · React · jQuery · Ajax
Tools & platforms
AWS · Google Cloud Platform · Jupyter · Git · Linux
Service & leadership
Journal reviews. ACM Transactions on Computing for Healthcare (1) · IEEE TETCI (1) · IEEE Access (8) · Frontiers in Neuroscience: Brain Imaging Methods (2) · Frontiers in Plant Science (2) · Elsevier Neurocomputing (2) · BMC Plant Methods (1)
Conference reviews. 32nd Canadian Conference on Computational Geometry (1) · IEEE BIBM (2) · ICCABS (1)
Organization & leadership.
- ·Research Fest Organizer, CS Graduate Council, USask, 2021
- ·Global Village Organizer, USask Student Union, 2021
- ·Local Organizer, 32nd Canadian Conf. on Computational Geometry, 2020
- ·Local Organizer, IEEE EICT, KUET, 2015
- ·Vice President (Social), CS Graduate Council, USask, 2020 — 2021
- ·President, Bangladesh Students Association, USask, 2020 — 2021
- ·Vice President, Bangladesh Students Association, USask, 2018 — 2019
Media coverage
Diving into deep learning: USask research
USask News
2022
Unpacking the black box of AI: Would you trust AI with your cancer diagnosis?
USask College of Arts & Science News
2025
This U of S grad wants to ensure you can trust AI with your cancer diagnosis
The Morning Edition Saskatchewan, CBC Radio
October 2025
U of S grad ensures trust in AI with cancer diagnosis
The Saskatoon Morning, CBC Radio One
October 2025
References
Md. Tauhidul Islam
Postdoctoral Supervisor · Assistant Professor
Radiation Oncology, Stanford School of Medicine
tauhid@stanford.edu
Lei Xing
Senior Research Collaborator · Jacob Haimson & Sarah S. Donaldson Professor
Medical Physics, Stanford School of Medicine
lei@stanford.edu
Debajyoti Mondal
PhD Supervisor · Associate Professor
Computer Science, University of Saskatchewan
d.mondal@usask.ca
Ian Stavness
PhD Committee Member & Mitacs Supervisor · Professor
Computer Science, University of Saskatchewan
stavness@usask.ca