Bipasha Goyal, B.A.Sc. Email & Phone Number

Toronto, Ontario, Canada

Leading end-to-end execution of six new product initiatives, including outlining objectives, setting timelines, and managing resources to ensure successful delivery- Working closely with senior leadership to determine strategy and roadmap to integrate GenAI-powered tools within internal processes and create new client-facing products- Using ChatGPT to create custom GPTs, with the potential to slash time spent on manual tasks by 70% - Defining roadmap to automate data processing in the cloud, including objective creation, resource allocation, workload management

Toronto, Ontario, Canada

- Transfigured data visualization and analysis for major pharmaceutical clients by developing custom Tableau dashboards with intuitive market shares displays, reducing data delivery time by 80% - Revamped data collection process, increasing operational efficiency and accuracy by 70% - Conducted user tests with internal and external stakeholders to iteratively refine each product, ensuring optimal functionality and usability- Streamlined data analysis and synthesis pipelines, achieving over 15% time savings per project- Produced 10+ market research reports, driven by 1x1 KOL/physician discussions nationwide and in-depth analysis of Canadian healthcare to deliver strategic insights and actionable recommendations

- Conducted research project to determine prognostic factors/biomarkers for head and neck cancer using patient transcriptomic/proteomic data- Developed statistical analysis scripts and machine learning models in Python - Performed feature selection to extract informative genes and proteins - Fit classification models on feature-selected data to determine the correlation between biomarkers and prognostic data- Documented findings in thesis report and presented research at lab presentation - Supervisor: Prof. Thomas Kislinger (Princess Margaret Cancer Center)

- Prototyped a minimally invasive device for surgeons to remove obstructions from dialysis catheters in a team of 4- Conducted client interviews & research to determine design requirements, regulatory standards & reference designs- Developed project timeline (Gantt Chart) to coordinate activities amongst team members - Iteratively prototyped device, regularly performing risk analysis (FMEA) - Designed & conducted verification & validation tests, documenting protocols & results - Documented entire design process, details & SOPs in final report for clients who are adopting it for clinical use

- Developed an autonomous UV disinfection lamp for rapid and regular surface disinfection during the COVID-19 pandemic alongside team in Canada and Germany - Programmed ultrasonic and motion sensors with Raspberry Pi and integrated with custom-made PCB- Received coveted MITACS Research Training Award for this project- Supervisor: Prof. Joyce Poon (University of Toronto and Max Planck Institute)

Toronto

- Designed and conducted 15 usability tests, synthesizing findings into report with recommendations implemented in chatbot used across campus (40,000+ users)- Winner: Skule Mental Health Hackathon (4 day hackathon, 25+ teams, judges from McKinsey, Deloitte, RBC and U of T) for website-informed resource-finding chatbot- Received CAD 1k funding to test and deploy solution campus-wide

Toronto, Ontario, Canada

- Led a new project to improve tumor classification from patient data with machine learning algorithms (Python), currently being implemented in lab pipelines- Used statistics such as Mann-Whitney U test, KS test to analyze data - Organized 100s of scripts with detailed comments & supporting documentation for efficient knowledge transfer- Delivered monthly presentations to the entire lab & collaborated with international researchers to acquire data- Supervisor: Prof. Adam Shlienhttps://otter.ccm.sickkids.ca/app/

- Independently purified novel RdCVF-SH3 protein, a therapy against retinitis pigmentosa, the most common inheritable retinal degenerative disease - Thawed and cultured frozen bacterial stocks, isolated plasmids and purified proteins using fast protein liquid chromatography (FPLC)- Also designed primers in Benchling and trained in hyaluronan-methylcellulose (HAMC) hydrogel synthesis- Won conference-wide ‘Best Poster Presentation’ for this research at UofT Undergraduate Research Day 2020 - Supervisor: Prof. Molly Shoichet (University of Toronto)

Toronto

- Performed ex vivo experiments on mouse hippocampal slices using a micro-electrode-array to study effects of neuromodulation against epileptic seizures- Trained in and practiced mouse handling & brain removal- Independently developed MATLAB code to analyze & visualize data and Python code that creates custom CR stimulation patterns- Managed inventory and maintained machinery- Presented research at two conferences- Supervisor: Dr. Taufik Valiante

High Honours Basc, Engineering Science (Biomedical Systems) & Business Certificate, Gpa: 3.84/4.00

Dean's Honour List (all academic years) Professional Experience Year @ SickKids 2020-21

High School Diploma, Physics, Chemistry, Biology, Mathematics, English