• As a member of the early product development team, collaborated with bench scientists, computational experts, and software engineers to conceptualize, design, and deploy web applications. These applications, crucial in the early stages of product development, provided data as a service to both internal and external clients, enabling access and visualization of genomics and molecular data. • Designed and implemented novel data visualization interfaces integrating disparate sources, including laboratory data management systems (e.g., ELNs, registries, LIMS, LIS). This empowered product teams to extract insights from convoluted datasets and facilitated comprehensive exploration of multi-omics experiments.

• Provide strategic and technical leadership in the areas of digital transformation within an adaptive pharmaceutical operation focusing on identifying and comparing candidate software to consider that would align with budgetary and regulatory requirements to streamline clinical data management. • Determining optimal parameters for the chosen software, and validating integration of the chosen software. • Performed automation for regulatory operations resulting in reduction in the administrative burden and improve the overall audit and compliance requirements related to electronic records and electronic signatures. • Stayed abreast of innovations within new digital technology platforms by actively participating in industry peer groups and forums. Advised, mentored, and supported internal collaborators to keep them advised of key technological and regulatory developments. • Prepared SOPs, user guides and training sessions for a team of 10+ scientists to use Microsoft 365 into the company’s workflow streamlining operational efficiency within 3 months from adopting new software.

• First Software Engineer Hire of the research division, tasked with investigating a novel approach to develop a machine learning model that can take in data recorded in an excel sheet, and pass through a time-series neural network to classify patterns representing different forms of cranial malformation. • Collaborated with a neurosurgeon, optics specialist and Machine Learning (ML) intern to develop a Proof of Concept (POC) Deep Learning model that can translate data acquired from photogrammetry software into a 3D mesh model to be passed into a autoencoder/GAN to create a statistically predicted 3D model of the human skull and finally through a 3D convolutional neural network.

• Managed and accurately analyzed daily posting of entries into General Ledger, Accounts Receivable & Accounts, Payable, Payroll, and Government Remittances, to generate monthly account reconciliations with strict attention to detail for 5+ clients. • Assisted with monthly financial and tax reports that supported client’s financial goals and ensured compliance with the rules pursuant to the Law Society of Ontario and the CRA.