I'm a Biomedical Engineering student at the University of Waterloo, happiest when I'm building something: machine learning pipelines for healthcare, prosthetic hands, experiment games, the occasional 3D-printed beaver. Away from the keyboard I play squash (the sport, though I'm fond of the vegetable too), respond with the campus first-aid team, and say yes to more community projects than strictly fit in a calendar.
Currently working on healthcare AI at Signal1 and making the most of Toronto summer runs.
I help make healthcare AI agents safe, measurable, and deployment-ready.
At Signal 1, I build evaluation and experimentation infrastructure for agentic AI systems, including clinically grounded benchmarks, execution-trace analysis, regression testing, and auditable validation workflows for multi-step healthcare tasks.
As a Bioinformatics Software Research Student at The Hospital for Sick Children (SickKids), I worked at the intersection of machine learning and genomic medicine to support clinical research. I designed and implemented an end-to-end ML pipeline to predict cognitive, language, and motor outcomes in preterm infants using demographic, clinical, and MRI data.
I also contributed to the design and iteration of a protein language model variant effect predictor, analyzing attention mechanisms to improve model interpretability. I collaborated with clinicians and researchers to drive impact in pediatric precision medicine.
As a Data Science and Process Mining Analyst at Transport Canada, I led two major process mining projects to enhance the efficiency of federal workflows. Using Python-based analytics, I identified bottlenecks in large-scale operational logs and delivered data-driven recommendations to policy and operations teams.
I built a secure and cost-efficient machine learning pipeline to automate classification tasks and reduce administrative burden, while also developing process conformance models and interactive dashboards that enabled stakeholders to act on insights with confidence.
As a Cognitive Engineering Research Intern at the ACE Lab, I focused on improving human interaction with complex systems through cognitive science and usability research. A core part of my work was contributing to the interdisciplinary SENSE-APP project, developed in collaboration with Carleton researchers and the National Research Council (NRC). The project aimed to assess driving risk in older adults using AI and telematics data, then communicate insights back to users to promote safer, longer driving.
I analyzed qualitative focus group data with QDA Miner, identifying key themes that directly shaped UX/UI design decisions. In parallel, I supported studies on human–machine interaction in autonomous driving, building experimental environments in Prepar3D and coding auditory stimuli for EEG data collection. I also designed a situational awareness task in Godot to evaluate hazard perception in ongoing research.
As a Manager and Assistant Manager from 2022 to 2023, I was responsible for overseeing the daily operations and safety of over 100 patrons, while leading a team of seven aquatic staff. I managed scheduling, training, and financial coordination to ensure the smooth delivery of high-quality community programs.
In addition to leadership responsibilities, I served as a lifeguard, swim instructor, and lifesaving course instructor, managing and delivering aquatic programming for all ages. Recently, I joined the Board of Directors, where I contribute to reopening strategy and the planning of a new facility to support long-term community growth. Learn more on our website.
As a Responder with the University of Waterloo Campus Response Team (2023–Present), I support the safety and well-being of the university community by responding to medical and mental health emergencies during shifts and on-call coverage.
In Winter 2024, I served as an Assistant Trainer, running assessment sessions and helping organize training in first aid and crisis management. Through this role, I contributed to strengthening the team's readiness and overall emergency response capabilities.
Praxis is a rehabilitation device designed to make therapy more engaging and measurable. Our team combined immersive interaction with motion tracking to turn a therapeutic exercise into a more intuitive experience, with useful performance feedback built into the experience.
Recognized with two prizes. View the project.
Authored a paper investigating how sinoatrial action-potential waves propagate through fibrotic tissue. The work uses spatial simulations to compare wave behaviour over time and make the effect of different fibrosis structures visible.
Accepted as a talk at the ALIFE 2026 Conference. Read the paper · Watch the talk.
Field course in Ghana studying water, sanitation, and health through field visits, community conversations, and site-based learning.
I saw how WASH systems are shaped by much more than infrastructure: governance, gender, financing, culture, and everyday use all determine whether a system actually works.
For my knowledge mobilization project, I built an interactive map game where players follow the course route, collect field-journal tokens, and gradually build a systems diagram from what we learned on the ground. Play it here.
Designed a systems-level intervention framework linking housing affordability, family dispersal, informal care-network loss, and downstream hospital demand; synthesized cross-sector drivers into intervention directions around modular housing, mixed-community living, and preventative care capacity. Awarded "Best Story Told" among 245 students from 25 universities.
Worked on building a multi-dataset pipeline to harmonize heterogeneous human-gait datasets into a canonical representation via spatial mapping and temporal normalization. Also worked on developing a deep probabilistic model (denoising diffusion, DDPM) to predict full gait cycles from past kinematics. Completed at the Neuromechanics & Assistive Robotics Lab under Dr. Arami, Winter 2026.
Designed a data-driven prosthetic interface integrating pressure-sensing hardware with AI-driven analytics to identify early tissue-risk zones. Built a mobile app UI prototype enabling real-time pain logging, activity tracking, and automated alerts to support remote clinical monitoring. Awarded 1st Place at the Waterloo Engineering Competition, Fall 2025.
As part of a three-person team, I engineered a low-cost myoelectric prosthetic hand capable of real-time grasp and object manipulation using forearm EMG signals. I designed and implemented the electrical system and signal processing pipeline, amplifying, filtering, and digitizing weak EMG signals through an Arduino to enable responsive control.
The mechanical design involved a tendon-driven whippletree mechanism that ensured even force distribution across fingers. Watch the prosthetic hand demo.
Developed a low-cost, off-grid kidney preservation system designed for low-resource settings, with the goal of improving transplant equity through accessible normothermic perfusion, built in a 6-hour competition. The design included a hybrid flow system combining gravity-assisted perfusion, DC peristaltic pumping, and feedback control.
Awarded 2nd Place at the Waterloo Bioengineering Competition.
Collaborated with Habitat for Humanity GTA to develop a quantitative impact framework aimed at measuring and improving program effectiveness. I analyzed intake and update datasets to identify key performance metrics, helping the organization better understand community needs and outcomes.
I also designed and implemented an interactive dashboard to enable data-driven decision-making. Recognized with 1st Place for impact and innovation.
Designed an interactive situational awareness task for a psychology experiment, built in the Godot game engine using GDScript. The task features automated scoring, participant event logging, and dynamic scene interactions to assess recall and hazard perception.
Try it out here. Example outputs can be viewed here.
Designed an autonomous garbage collection robot capable of navigating obstacles and retrieving waste, created in a team of three for the Waterloo Engineering Competition. The system featured a two-wheeled, GUI-controlled platform with a rotating arm for object detection and collection.
Earned 2nd Place in the Senior Design Category. See it in action here.
Created a 3D mechanical puzzle using SolidWorks and 3D printing, as part of a five-member design team. The puzzle features a hockey-playing beaver figurine, combining playful aesthetics with functional mechanics. I led the design of the gear-driven base, integrating perpendicular gears to enable smooth horizontal-to-vertical rotation.
See it in action here.
Designed an ergonomic pill bottle for individuals with arthritis, focusing on improved accessibility and ease of use. As part of a six-member team, I led a comprehensive iterative design process involving needs assessment, engineering analysis, prototyping, and user testing. I also authored two in-depth technical reports documenting methodology, design rationale, and usability outcomes.
Learn more here.
Developed a Game of Life simulation in snowflake form, inspired by Norman Packard's mathematical model of snowflake replication. Collaborated within a four-member team to build the simulation in Python, using Git for version control. I led the statistical modeling of snowflake generation and created the presentation video.
Earned 1st Place in the French national competition Les Trophées NSI. Explore the code on GitHub or watch our presentation (French).
Built a semantic field analysis tool in Python featuring automated web scraping to explore linguistic patterns in literature. Users can input a target word, after which the tool retrieves related terms from a word-family database and analyzes a selected novel to quantify word family occurrences. Designed to support literary and linguistic research.
