Not available to supervise at the moment

Quota filled up at the moment; at capacity. Also not available to serve any new supervisory committee.

Don’t apply until the status changes on this website. Following are applicable when I become available to supervise again.

Instructions to Apply

Graduate students in statistics, biostatistics, epidemiology, economics or computer science with strong methodological expertise in statistics (as well as statistical computing) are encouraged to contact me directly; particularly those with some of the following skills:

• extracting analytic data from administrative (e.g., health admin) and survey databases (e.g., DHS, NHANES, BRFSS or CCHS),
• preparing statistical analysis plans according to research questions and available data,
• ability to conduct statistical literature reviews ( example),
• running statistical analyses using standard software (e.g., SAS, R or python),
• coding statistical estimators (via SAS macro/IML, R, python or stata mata; example),
• conducting simulation studies (e.g., in servers, parallel computing, High Performance Computing),
• excellent scientific writing (e.g., demonstrated via peer-reviewed publications),
• ability to work on a multidisciplinary team (e.g., work within bio-statistics or epidemiological groups),
• experiences in machine learning, causal inference and making data requests are preferred; but not a requirement.

Applications without the components mentioned below will not be considered. Only shortlisted candidates will be contacted. Please do not email multiple times.

Interested candidates should email me (at my UBC email address) the following:

1. a cover letter (2 pages max), mentioning all of the following:

• whether you are interested in an MSc or a PhD program, or postdoctoral research?
• why you want to work with me? How is your background related to mine?
• a short overview of your research background.
• what makes you an outstanding candidate for this lab?

2. a complete CV, including

• research interests
• degrees obtained
• award list, if any,
• list presentation (seminar, conference, workshop) activities (if any)
• list of research / work experiences / volunteering activities (if any)
  • in healthcare related settings
  • in methodological research
  • in teaching
  • in software publishing
  • in leadership activities
• Names of 2 referees
  • with official email addresses.

3. full publication record (particularly list publications in methodological (statistical and epidemiological) journals in separate sections, if any)

• peer-reviewed published and/or accepted articles with full co-authors listed,
  • with each publication, mention what was your contribution (study conception, analysis, writing, critiquing, etc. in detail, with contribution percent),
• list of manuscripts under review at the moment, with manuscript submission ID and abstracts
• do not include in-progress or unsubmitted works
• Send at most 2 sample articles of your choice where you are an author with most contribution, and mention your contributions in each (if any)

4. copy of the unofficial transcripts (post-secondary), and
5. If you are coming from an institution where English is not used as the first language, also include your TOEFL (iBT), IELTS or equivalent scores in your CV.

Note:

• Please check out these websites for MSc and PhD requirements for SPPH, UBC (see under ‘Requirements’ section).
• Note that the requirements vary by department (e.g., check for Statistics).
• Please check out my G+PS profile for my research interests, as well as my previous publications.

Trainees (Present and Alumni)

• PhD Supervision

Name and website link	Research Interests or Bio	Image
Christopher Andrew Basham, SPPH, Graduated in 2021, Thesis	C. Andrew Basham is a tuberculosis (TB) epidemiologist with a background in Environmental and Urban Studies (BA) from the University of Winnipeg. Under the supervision of Drs. Ehsan Karim and James Johnston, Andrew has completed his doctoral research on TB survivor health using causal inference methods with health administrative data. He is currently a research fellow at the Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital
Md. Belal Hossain, SPPH, transferred from MSc	Belal Hossain is a PhD candidate at the School of Population and Public Health, focusing on the association between tuberculosis (TB) and cardiovascular disease (CVD), and developing risk prediction models using methods such as cohort studies, high-dimensional propensity scores (hdPS), high-dimensional disease risk scores (hdDRS), time-dependent Cox regression, and simulation studies. His research aims to improve the understanding of TB-related health risks and enhance predictive modeling in epidemiology.
Fardowsa Yusuf, SPPH	Multiple sclerosis, data mining, clustering; jointly supervised with Helen Tremlett. Awarded the CIHR Frederick Banting and Charles Best Canada Graduate Scholarship Doctoral Award for her research on the Multiple Sclerosis (MS) prodrome.
Hanna Frank, SPPH, transferred from MSc	Hanna Frank is a PhD Candidate at the UBC School of Population and Public Health, with background in mathematics, statistics, and computer science. Her research interests focus on the use of data science in health care, and she is currently working on developing a multiple sclerosis-specific comorbidity summary index ( MSCSI) to better understand and manage comorbid conditions in people with MS, using data from British Columbia, Manitoba, and Sweden. Her research seeks to identify key comorbidities affecting MS outcomes, test existing summary measures, and create a tailored comorbidity index to improve risk factor identification and clinical care for individuals with MS.
Momenul Haque Mondol, SPPH, , transferred from MSc	Momenul Haque Mondol is a PhD Candidate at the UBC School of Population and Public Health, jointly supervised by Dr. Ehsan Karim and Prof. Bohdan Nosyk. His research aims to estimate the comparative effectiveness of different dose reversion strategies on treatment discontinuation among methadone and buprenorphine/naloxone users in British Columbia, Canada. By leveraging health administrative databases and employing a population-level retrospective cohort study, the study explores the impact of various interruption periods on the time to treatment discontinuation via emulated target trials.

• MSc Supervision

Name and website link	Research Interests or Bio	Image
Eric Sanders, Statistics, Graduated 2019, Thesis	After completing BSc in Statistics at Queen’s University and MSc in Statistics with a Biostatistics specialization at the University of British Columbia (MSc thesis jointly supervised by Prof. Paul Gustafson and Dr. Ehsan Karim), Eric Sanders is now a PhD student at the University of Toronto.
Lucy Mosquera, Statistics, Graduated 2020, Thesis	Lucy Mosquera has a background in biology and mathematics, having completed her BSc at Queen’s University in Kingston and her MSc in statistics at the University of British Columbia. Lucy’s MSc. thesis compared causal inference methods to recover the true effect of receiving a new treatment when trial participants do not adhere to the treatment protocol. Currently, she is focused on methods to make better use of existing data through synthetic data generation to enable widespread data sharing at the start-up Replica Analytics.
Mohammad Abdullah Heel Kafi, SPPH, Graduated 2021, Thesis	Effect modification in propensity score

• Undergraduate Supervision

• Postdoctoral Fellow Supervision

• Co-supervising / Committee member