Faculty profile
Ali Ghodsi
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Latest papers
Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks.
Pharmaceutical research · 2025
GraphPI: Efficient Protein Inference with Graph Neural Networks.
Journal of proteome research · 2024 · senior author
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides.
Medical image analysis · 2021
Latest funding
- $138,000
Beyond Deep Associative learning
NSERC · 2019 · Principal investigator
- $734,400
Theoretical, experimental, and preclinical studies of heterogeneity-driven adaptive resistance to chemotherapy: Implications for multimodal targeted therapeutics
CIHR · 2018 · Co-investigator
- $100,000
Larg-Scale Data Analytics: Methodologies and Applications
NSERC · 2014 · Principal investigator
5 publications.
Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks.
Podina L, Ghodsi A, Kohandel M
GraphPI: Efficient Protein Inference with Graph Neural Networks.
Ma Z, Chen J, Xin L, Ghodsi A
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides.
Riasatian A, Babaie M, Maleki D, Kalra S, Valipour M, Hemati S, Zaveri M, Safarpoor A, Shafiei S, Afshari M, Rasoolijaberi M, Sikaroudi M, Adnan M, Shah S, Choi C, Damaskinos S, Campbell CJ, Diamandis P, Pantanowitz L, Kashani H, Ghodsi A, Tizhoosh HR
Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry.
Tran NH, Qiao R, Xin L, Chen X, Liu C, Zhang X, Shan B, Ghodsi A, Li M
Determining protein structures from NOESY distance constraints by semidefinite programming.
Alipanahi B, Krislock N, Ghodsi A, Wolkowicz H, Donaldson L, Li M
Beyond Deep Associative learning
Principal investigators: Ghodsi, Ali
Keywords: machine learning; deep learning; causality
Theoretical, experimental, and preclinical studies of heterogeneity-driven adaptive resistance to chemotherapy: Implications for multimodal targeted therapeutics
Principal investigators: Kohandel, Mohammad; Goldman, Aaron
Keywords: Cellular Heterogeneity; Drug Combination; Drug Resistance; Mathematical Modeling; Signaling Pathways; Triple Negative Breast Cancer
Larg-Scale Data Analytics: Methodologies and Applications
Principal investigators: Ghodsi, Ali
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Ming Li and Ali Ghodsi: 2 shared papers
- Mohammad Kohandel and Ali Ghodsi: 1 shared paper
- Phedias Diamandis and Ali Ghodsi: 1 shared paper
- Ming Li and Henry Wolkowicz: 1 shared paper
- Ali Ghodsi and Henry Wolkowicz: 1 shared paper
- Statistics and Actuarial Science
- Computer Science
- Combinatorics and Optimization
- Applied Mathematics
- Laboratory Medicine and Pathology
Co-authors at University of Waterloo, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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