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Summary of Qualifications

  • Research experience in clinical epidemiology, economic evaluations, applied econometrics.
  • Proficient in Python, and R, STATA
  • Team player, dedicated, and driven
  • 10+ years of playing a competitive sport

Education

2021 - 2022
MSc, Health Services Research (Health Economics); University of Toronto (Ontario, Canada)

Institute of Health Policy, Management, and Evaluation

Thesis: Effect of Spinal Cord Injuries on Work and Earnings

2016 - 2020
HBSc, Global Health; University of Toronto (Ontario, Canada)

Minor: Statistics, Economics

Research Experience

Research Assistant, May 2020 - current: St. Michael’s Hospital, Toronto, ON

  • Currently performing research in clinical epidemiology examining different cohorts of patients with spinal chord injuries

  • Performing data analysis with R, SAS

  • Using statistical analysis techniques such as linear mixed modeling

Research Intern, Sept 2020 - May 2021: Amsterdam Medical Center, Amsterdam, NL

  • Performing research in social epidemology examining the ‘driveability’ index.

  • Relevant work performed in ArcGIS, python, R.

Research Assistant, Sept 2019 - August 2020: Dalla Lana School of Public Health, Toronto, ON

  • Contributed to a project in spatial epidemiology examining greenness accessibility and distribution within Ontario

  • Expected to produce a journal publication summarizing our results

  • Performing data analysis with Python, R, ArcGIS, SPSS

Work/Industry Experience

Teaching Assistant, Jan 2022 - May 2022: Department of Statistical Sciences, Toronto, ON

  • Led discussion groups weekly, assisted with office hours,and marked problem sets and final exams.

Teaching Assistant, Jan 2022 - May 2022: Department of Human Biology, Toronto, ON

  • Guided students to complete tutorial exercises, assisted with office hours,and marked projects, case reports, and final exams.

Data Delivery Intern, Dec 2020 - May 2021: Dashmote, Amsterdam, NL

  • Hired to assist with the data pipeline to ensure accurate timing and execution of data visualization dashboard to client.

  • Tested over 10 hypotehsis to improve their ML algorithms in small, controlled experiments.

  • Completing relevant analysis work in Python.

Business Analyst, Sept 2019 - Jan 2020: iMerciv, Toronto, ON

  • Created an interview script to interview over 200 people to determine a minimum viable market for their developing navigational app

  • Developed marketing strategies for Instagram, Twitter, Facebook.

Peer Mentor, Sept 2018 - Dec 2020: Department of Statistical Sciences, Toronto, ON

  • Mentored first year students who intend to study statistics to help them succeed in a new academic environment.

  • Organized at least 1 social event per semester and connected students with resources to aid them in their transition to Toronto.

  • Aided the new team of mentors on their transition to an online platform.

Technical Experience

Programming Languages
R: including ShinyApps, creating this website, and well versed in data cleaning with Tidyverse
Python: pandas/Matplotlib, including using API’s to download information
ArcGIS / QGIS: including integrating to Python / R scripts to perform geospatial analysis
STATA: High proficiency implementing various econometric methodology

Awards

  • NCWP Most Valuable Goalie (2017, 2018, 2019)
  • Selected to compete with Team Canada at FISU in Naples, Italy, where I helped the team place 4th overall.
  • 2x nominated for the Frank Pindar Athlete of the Year (2017-2018, 2018-2019)
  • Frank Pindar Athlete of the Year (2019-2020)
  • Second overall at U of T datafest - Project & Details of competiton