I’m a Postdoc at the CHEO Research Institute, where I work on the applications of machine learning methods for synthetic data generation. I completed my Ph.D. in Quantitative Life Sciences at McGill University, with concentration on Computational Statistics. During my doctoral studies, 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 and Mathematics at Stellenbosch University.
The main areas of my research include: (1) Developing statistical and computational methods for analyzing distributed biomedical data under privacy/budget constraints, (2) Designing and evaluating machine learning methods for mitigating covariate bias in real world data and randomized clinical trials, and (3) Statistical modeling and its applications to neurology and pain research.
| 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 Postdoc researcher. |
| May 2022 | Our methods paper on Privacy-Preserving Logistic Regression is out. |
| May 2021 | I will be presenting 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 BC surgery using ML. |
| December 2019 | Recent work with Cressatti et al. at the Schipper Labs on Salivary diagnostic markers (MicroRNA 153 & 223) in Parkinson disease was highlighted in Nature Reviews Neurology. |
| May 2019 | Attending the training school ("Data Assimilation, Inverse Problems, Machine Learning") at 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. |
| April 2018 | I will present a poster ("Microaggregation as a Privacy-Preserving Analytical Tool for Analysis of Confidential Distributed Data") at the ISPE Mid-Year Meeting in Toronto. |
| March 2018 | I 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 the EBOSS Research Day. |
| May 2017 | I am interning at the South African Centre for Epidemiological Modelling and Analysis (SACEMA) in Stellenbosch this summer with Prof Alex Welta. |
| 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 2023-10-25
Lamin Juwara