David Huang Email & Phone Number

Toronto, Ontario, Canada

Kingston, Ontario, Canada

• Engineered a robust data preprocessing pipeline to consolidate and analyze diverse biological datasets, including gene expression profiles and ontological data, enhancing data fidelity for statistical modelling.
• Applied state-of-the-art graph neural network algorithms to analyze protein and gene interaction networks to identify novel gene disease associations in lung adenocarcinoma, aiding in the biomarker discover.

Kingston, Ontario, Canada

• Orchestrated preparation, processing, and integration of heterogenous time-series electronic medical record data and development of LSTM and Bi-GRU machine learning models.
• Presented research at the Canadian Undergraduate Conference on AI (CUCAI) 2021. Published in the CUCAI conference proceedings and winning 2nd best paper award.

Kingston, Ontario, Canada

• Studied the distribution of polymorphisms in 27 SARS-CoV-2 genome sequences isolated from the early cases of COVID-19 in eastern Ontario.
• Engineered data processing pipeline to analyze 16S rRNA sequencing data identifying unknown species from the tick microbiome using phylogenomic techniques.

Kingston, Ontario, Canada

• Lead the development of a COVID-19 analytics dashboard for local hospital/health units, tracking disease progression and hospital response capacity, expediting evidence-based health reporting and effecting local health.
• Engaged clients through live product demos to elicit feedback, demonstrate project progress, and explore tailored software solutions to customer desires.
• Organized cross-functional team meetings and mentored new interns through product walkthroughs and 1-on-1 meetings.

Kingston, Ontario, Canada

• Expanded the artificial intelligence and machine learning knowledge and resources of 200+ members of Canada’s largest artificial intelligence club through the creation of club and school-wide events and initiatives.
• Oversaw the planning and implementation of multiple school-wide virtual events with 100+ attendees through collaboration with other QMIND streams such as Partnerships, Professional Development, Educate, and Marketing.
• Oversaw client acquisition, project ideation, and project development of 4 AI/Machine learning projects through high-level leadership and management of independent undergraduate teams.

Kingston, Ontario, Canada

Kingston, Ontario, Canada

Kingston, Ontario, Canada

Toronto, Ontario, Canada

• Spearheaded a team of 4 to develop an AI-powered risk model for (pre-)diabetic patients, predicting disease prognosis and associated complications.
• Implemented Agile methodologies, enhancing team deliverable turnaround time by 30%, and ensuring alignment with strategic objectives in machine learning initiatives.

• Performed extensive abstract and presentation review for poster and oral competitions
• Operated the CUCOH journal through the abstract submission process and subsequent journal publication
• Adapted Poster and Oral presentations to an online environment during COVID-19 using online conferencing tools and intuitive user interfacing
• Developed organizational tools to improve efficiency during the planning and operating phases using G-Suite tools

Kingston, Ontario, Canada

• Leveraged time-series data preprocessing, statistical analysis, and predictive modeling on historical patient bed occupancy data to enhance hospital resource management and aid in operational planning.
• Co-authored “Forecasting bed occupancy using machine learning methods” and presented findings at the Canadian Undergraduate Conference on AI (CUCAI 2020). Published in conference proceedings.
• Upheld patient data integrity and confidentiality in compliance with ethical standards, certified by the hospital's ethics board.

Winnipeg, Manitoba, Canada

• Trained in laboratory management, safe handling of biological and chemical agents, and preparation of biochemical samples. Implemented wet lab protocols for the preparation and analysis of cell culture samples.
• Conducted comprehensive literature review and data collection, utilizing qPCR, FISH, immunostaining, cell culture, gel electrophoresis, and Sanger Sequencing. Used immunofluorescence microscopy to take 3D images of.
• Measured nuclear architecture of buccal cells from Alzheimer patients, identifying critical cellular landmarks. Co-authored “Super-resolution structure of DNA significantly differs in buccal cells of controls and.

Master Of Engineering - Meng, Biomedical/Medical Engineering

• Courses: Introduction to Health Care Engineering, Medical Imaging

Doctor Of Medicine - Md

Activities and Societies: Medrocks Climbing Club, Prototype Entrepreneurship Club

Honours Bachelor Of Computing, Specialization In Biomedical Computing, Computer Science

Activities and Societies: Varsity Fencing, QMIND (AI), Queen's Bioinformatics, Canadian Undergraduate Conference on Healthcare, Queen's.

High School Diploma

• Academics: Graduated Governor’s Honour Roll AP Scholar • Student Council: Middle and Highschool House Captain