I am a Senior Applied Scientist in Health Data Science at the Government of Manitoba, where I lead the health and social services portfolio. Before joining the civil service, I was a postdoctoral researcher at the CHEO Research Institute under the mentorship of Prof. Khaled El Emam. At CHEO, I worked on the applications of machine learning methods for synthetic data generation.
I completed my PhD at McGill University, where my doctoral research focused on privacy-preserving regression methods for distributed biomedical data. I had the privilege of being co-advised by Dr. Paramita Saha-Chaudhuri (Biostatistics) and Prof. Archer Yi Yang (Statistics). Prior to that, I completed MSc programs in Biostatistics at McGill University and Mathematics at Stellenbosch University.
My research interests include:
| Nov. 2023 | New methods paper on privacy-preserving analysis of time-to-event data under nested case-control sampling has been accepted at *Statistical Methods in Medical Research*. |
| July 2022 | Joined the EHIL group at CHEO and uOttawa as a Postdoctoral Researcher. |
| May 2022 | Our methods paper on privacy-preserving logistic regression is out. |
| May 2021 | Presented a poster at the CSSC conference on privacy-preserving Cox regression. |
| Nov. 2020 | New methods paper on survival analysis with pooled covariates. |
| Sept. 2020 | Our paper on characterization and heme oxygenase-1 content of extracellular vesicles in human biofluids is out. |
| June 2020 | New article on identifying predictive factors for neuropathic pain after breast cancer surgery using machine learning. |
| Dec. 2019 | Recent work with Cressatti et al. at the Schipper Labs on salivary diagnostic markers (MicroRNA 153 & 223) in Parkinson’s disease was highlighted in *Nature Reviews Neurology*. |
| May 2019 | Attended the training school ("Data Assimilation, Inverse Problems, Machine Learning") at the CRM. |
| May 2018 | Presented a poster ("Virtual pooling as a privacy-preserving analytical tool to estimate hazard ratios") at the SSC Annual Meeting in Montreal. |
| Apr. 2018 | Presented a poster ("Microaggregation as a privacy-preserving analytical tool for analysis of confidential distributed data") at the ISPE Mid-Year Meeting in Toronto. |
| Mar. 2018 | Presented a poster ("Virtual pooling as a privacy-preserving analysis tool to estimate covariate hazard ratio (HR) of Cox proportional hazard model") which won the Best Poster Award at EBOSS Research Day. |
| May 2017 | Interning at the South African Centre for Epidemiological Modelling and Analysis (SACEMA) in Stellenbosch this summer with Prof. Alex Welte. |
| Oscars prediction model | February 8, 2020 |
| `metalr`-likelihood ratio meta-analysis package | July 29, 2018 |
| Image Completion with Deep Learning in TensorFlow | August 9, 2016 |
| OpenFace 0.2.0: Higher accuracy and halved execution time | January 19, 2016 |
Last updated on 2025-03-25
Lamin Juwara