Thomas M.

Organizing fundraising efforts, pulling together the story, materials, and investor process so the company can raise capital smoothly.

-Evaluated technical feasibility and theoretical use cases for Afference’s neuro-haptic interface technology across energy, manufacturing, and industrial automation sectors. -Modeled system-level integration requirements for complex, multi-variable environments. -Conducted detailed market and process research to identify where advanced control systems or sensory feedback could improve reliability, throughput, and safety in industrial operations. -Organized engineering-adjacent documentation for the Series A data room, including process diagrams, workflow logic, and integration pathways for high-tech industrial applications. -Developed analytical frameworks that resembled process-hazard evaluation and scale-up assessment to support technical diligence for prospective partners and investors.

Co-authored a published research article on AAV process development, including upstream and downstream optimization. Managed and optimized experimental bioreactor parameters such as nutrient flow, mixing, temperature profiles, and throughput efficiency. Conducted quantitative data analysis on large biological and chemical datasets, including process modeling and scale-up analytics. Reoriented and validated genome-related reagent workflows, emphasizing quality control, reproducibility, and precision. Performed hands-on experimental work in controlled environments emphasizing laboratory safety, standard operating procedures, and technical troubleshooting.

Managed end-to-end business operations using a systems-based approach (finance, scheduling, customer pipelines, and service delivery). Designed individualized training programs using structured inputs, constraints, and performance outputs, utilizing engineering methods to generate novel methodology. Built repeatable service models and client-tracking workflows.