Greater Ottawa Metropolitan Area
• Leading a team of applied researchers in early stage product conception, and competitive technology assessment. • Providing technical recommendations and technical briefs to business development and product management teams.
• Technology lead for FluidSIGHT system from lab prototype to product.https://www.gastops.com/products-services/fluidsight/. • Selected critical hardware components, designed core algorithms, calibration methodologies and planned core aspects of product strategy. • Produced intellectual property and marketing collateral including patents and peer-reviewed technical publications. • Drafted grant proposals and research progress reports to secure over 6 million in government defense funding. • Evaluated, implemented and tested supervised machine learning/chemometric models and other algorithms for embedded sensor systems. (Python/MATLAB).
Hue.Ai (since rebranded as Colorboost) is B2B business that combines AI with chemistry expertise to develop the next generation of lens products for optimal visual acuity, and visual performance. I was the first R&D employee hired by the company during its Pre-Revenue startup phase. My main contribution was to develop and implement dye formulations across various company prototypes and products, and produce key Intellectual Property in designing new dyes and process improvements. My work allowed the company to effectively outsource both dye and lens manufacturing in a cost-effective manner. Summary of Accomplishments: • Conceived and led dye chemistry R&D across multiple projects, in both sunlens and contact lens formats with world-leading eyewear manufacturers. • Designed 15+ sunlens product formulations that satisfied customer, regulatory and manufacturing requirements. • Reviewing spectral characterization data of company dyes; processing spectra for database entry. • Implemented code and and testing new algorithms within company colorimetric optimization software. (MATLAB) • Identified and implemented cost-saving technical solutions that reduced dye costs by 40% across all product lines. • Drafting provisional patent applications; completing Patentability and Freedom to Operate (FTO) searches and analyses. Media articles and content: https://www.youtube.com/watch?v=pERhWtl97uY https://www.mido.com/en/exhibitor-news/colorboost-2025 https://www.businesswire.com/news/home/20191018005090/en/Pepperdine-Graziadio-Business-School-Reveals-2nd-Annual https://www.visionmonday.com/latest-news/article/hueai-ranked-most-fundable-company-by-pepperdine-graziadio-business-school/ https://www.visionmonday.com/launchpad/spectacle-lenses-1/article/eyenavision-intros-chemistrie-color-color-blind-lens-solutions/ https://www.mensjournal.com/gear/bolle-uses-a-i-to-create-most-advanced-high-contrast-lens-to-date/
• Developed cost and time effective sample processing procedures to solve major fluorescence interference issue. • Wrote budget and research methodology sections for NSERC Collaborative Research Grant . (3 year, $450000) • Numerically modelled temperature response of photoluminescence spectral line shapes of nanocrystals (MATLAB). • Simulated temperature dependant chromaticity (CIE 1931) trajectories of photoluminescence. • Maintained and upgraded external laser excitation sources for micro-Raman spectrometer ($15000 project) • Air-free (Schlenk line and glovebox) synthesis, surface chemistry reactions (ligand exchange), synthesis purification and separation of quantum dots. • Placed first (out of 18 teams) in a Graduate Management consulting case competition, pitching strategy to local fintech start up. • Awarded over $60,000 in competitive scholarships. • Coauthored 8 peer reviewed publications, supervised 3 research projects (1 MSc and 2 BSc). • Trained in operating commonly used instruments in materials science characterization (UV-VIS, temperature dependant photoluminescence spectroscopy, TCSPC, Raman, ESI-MS, NMR, EPR, XPS, TGA, DSC, FTIR, DLS, TEM/SEM).
• Optimized conditions for wet chemical surface modification of nanocrystalline cellulose. • Prepared spin and dip coated UV-photocurable polymer composite films and assessed optical properties • Wrote nonlinear regression fitting code in for customized model fitting of time-resolved photoluminescence data. (MATLAB) • Demonstrated proper use of instrumentation, taught spectroscopic data processing to fourth-year undergraduate students. • Created and implemented new laboratory experiment on time-resolved photoluminescence (TCSPC). • Won teaching excellence award, with 100% positive TA feedback ratings ( Average approval rating of 4.8/5 over three years) • Validated cold plasma prototype technology for local medical start up by determining radical species composition and concentrations at various power and gas compositions (6 months, $25000 project)