About Me

I have over a decade of experience in clinical research and I am currently working as a Senior Clinical Data Scientist within the Clinical Data Sciences team at Syneos Health. I have a strong background in Data Sciences with an expertise in Data Management and Data Analysis. In addition, I also have experience in web development and a strong interest in cybersecurity.

I completed my Bachelor of Science Degree in Biology and Computer Science at McGill University (2015). Motivated to acquire more knowledge, I obtained a Diploma in Internet Business Technology (2017) and a Certificate in Data Science & Machine Learning (2018). Having accumulated several years of working experience, I decided to pursue higher education and completed my Masters in Computer Science at the University of Montreal (2021).

Experience

As a lead Clinical Data Manager at Alimentiv, I am responsible for the execution of clinical data management plans and processes for collection, management, reporting and analysis of data on behalf of project teams and sponsors. I also collaborate with multi-disciplinary project teams and functional specialists to identify, update, maintain, test, and review project databases, data, related documents, reports and time lines. Additionally, I regularly review quality of data output ensuring all data created meets integrity, quality, validity, and reliability standards in accordance with project and sponsor guidelines, industry best practices and regulatory standards. Lastly, I liaise with sponsors, sites, and project teams to address data issues and queries and ensure stakeholders remain up-to-date on project requirements.

Furthermore, I have over 4 years of working experience at various companies and organizations, most notably with the McGill University Health Centre (MUHC). I was the lead Data Manager for the Canadian Co-Infection Cohort, a prospective clinical cohort of HIV and Co-Infected patients. In that role, I was the primary contact person for day to day data management tasks, from EDC development work to query resolution tasks. I participated in various data management activities required to ensure that the data was collected, managed and reported clearly, accurately and securely. Moreover, I oversaw the implementation of efficient ways to extract, transform and analyze data with high attention to confidentiality and security. Working in the field of research, I had many opportunities to collaborate with world-renowned physicians and researchers, contributing mainly in the data management and analysis components of various projects. During that time, I have also worked as a consultant for local medical clinics and healthcare organizations, providing insight on data-related inefficiencies and recommending optimization solutions.

Occasionally, I have also worked on web development and design projects as a freelancer. Curious by nature, I always enjoy learning new things, and with how accessible knowledge is nowadays, there is simply no excuses.

Projects

Data
Web
Icon InnoVie Health.

InnoVie Health

Python
R
JSON
Back when IBM launched its global competition IBM Watson AI XPRIZE, I was a member of InnoVie Health, a startup aiming to improve and optimize healthcare management systems. Given my background in data management, I mainly contributed in the data related tasks throughout the project. InnoVie Health finished among the top 10 teams in the AI healthcare division. To this day, I still believe that there are so many aspects in our current healthcare system that can be improved, and I will continue to contribute in one way or another and hopefully make an impact!
Icon 99DROPSTEP.

99DROPSTEP

HTML
CSS
JS
IndexedDB
Have you ever wondered what it would've been like for Kobe Bryant and Michael Jordan to play together? Or what if LeBron James teamed up with Steph Curry? This web application allows us to simulate basketball games with a collection of players from every era! The website is created from scratch with HTML, CSS and Vanilla JavaScript, along with IndexedDB as the database.
Icon politifact.

Fake News Detection

Python
sklearn
Word2Vec
In this analysis, we study the potential power of artificial intelligence in the fight against the dissemination of fake news by exploring various machine learning algorithms. Given the imbalance in the number of fake news compared to real ones, we analyzed the effect of tuning the class weights during training. The results show that adjusting the weights can help improve the prediction of the underrepresented classes, at the cost of a slightly lower overall performance.
Icon word embedding.

Word Embedding

PYTHON
SPACY
If I ask you to tell me what related words come to mind when I say "Hamburger", you would probably respond with "Buns", "Lettuce", "Tomatoes", "Ketchup" and so on. Our human brains are capable of understanding underlying relationships between words in the real world. In this project, we explore the capability and the performance of a trained model to find the closest neighbours to a given word.
Icon Gallery Timeless.

Gallery Timeless

HTML
CSS
JS
As I enjoy painting from time to time, I have decided to share my art on a personal website. However, I couldn't find any template that fully satisfied how I wanted to present my work. So I decided to build my own online art gallery from scratch! From the design to the functionality, I customized the website to the smallest detail. Gallery Timeless, art never fades.

Publications

  • Eliminating Structural Barriers: The Impact of Unrestricted Access on Hepatitis C Treatment Uptake Among People Living With Human Immunodeficiency Virus
    Sahar Saeed, Erin Strumpf, Erica E M Moodie, Leo Wong, Joseph Cox, Sharon Walmsley, Mark Tyndall, Curtis Cooper, Brian Conway, Mark Hull, Valerie Martel-Laferriere, John Gill, Alexander Wong, Marie-Louise Vachon, Marina B Klein & Canadian Coinfection Cohort Study Investigators
    Clinical Infectious Diseases Link
    28 August 2019
  • Developing a patient-reported outcome measure for HIV care on perceived barriers to antiretroviral adherence: assessing the needs of HIV clinicians through qualitative analysis
    Isabelle Toupin, Kim Engler, David Lessard, Leo Wong, Andràs Lènàrt, Bruno Spire, François Raffi & Bertrand Lebouché
    Quality of Life Research Link
    13 October 2017
  • Patient profiles as organizing HIV clinicians’ ART adherence management: a qualitative analysis
    Isabelle Toupin, Kim Engler, David Lessard, Leo Wong, Andràs Lènàrt, François Raffi, Bruno Spire & Bertrand Lebouché
    AIDS Care Link
    01 August 2017
  • Cocaine/crack use is not associated with fibrosis progression measured by AST-to-Platelet Ratio Index in HIV-HCV co-infected patients: a cohort study
    Valérie Martel-Laferrière, Roy Nitulescu, Joseph Cox, Curtis Cooper, Mark Tyndall, Danielle Rouleau, Sharon Walmsley, Leo Wong, Marina B. Klein & for the Canadian Co-infection Cohort Study Investigators
    BMC Infectious Diseases Link
    17 January 2017
Show more