Brian Bohman, Ph.D. Email & Phone Number

Minneapolis, MN, US

St Paul, Minnesota, US

• Launched over 15 new image-based analytics products and enabled accelerated development across siloed data science, software, and hardware teams via adoption of standardized technical definitions.
• Executed commercial launch of Data Science-as-a-Service products to unlock customer-specific applications leveraging agronomic machine learning and image-based deep learning technologies.
• Designed and led pre-commercial launch of Aerial WeedScout product to reduce herbicide application up to 70% by leveraging image-based deep learning, generative AI, and high precision mapping technologies.
• Architected a quantitative framework to prioritize product roadmap investments based on NPV/IRR criteria and communicated real-time quantitative status of initiatives to executive stakeholders.
• Achieved 40% reduction in unit cost for image-based analytics products by coordinating cross-functional initiatives to quantitatively prioritize technical development and fulfillment workflow improvement.
• Developed a horizontal-platform roadmap strategy to expand into new high-value use cases, unlock internal efficiency and ecosystem integration, and commoditize competitive compliments.

St Paul, Minnesota, US

• Led discovery and solution design pre-sales activities including product demonstrations and consultative discussions to identify use case and communicate value to customer.
• Streamlined pre-sales processes for scoping, quoting, statement of work drafting, and handoff to project management to support 50% YoY growth in bookings.
• Developed proof-of-concept projects to commercialize image-based deep learning and agronomic machine learning technologies aligned with roadmap and strategy.
• Designed and implemented a revised go-to-market strategy including developing a pricing framework, crafting product messaging, defining customer segments, and coordinating cross-functional launch.
• Architected standardized technical definitions for image-based analytics products to enable increased sales velocity, improve customer success outcomes, and unblock product marketing and development.
• Executed commercial launch of Nitrogen Management Tool (Insight Sensing product/technology).

• Launched a spin-out company based on technology developed at University of Minnesota.
• Directed a Small Business Technology Transfer Research Phase I project funded by the National Science Foundation to commercialize remote sensing based in-season nitrogen management technology.
• Managed product development roadmap and developed go-to-market strategy leveraging customer discovery to validate product-market fit and determine initial beachhead market.
• Invented a geospatial machine learning platform technology and framework designed for precision agriculture use cases, implemented as Python library and PostgreSQL database (patent pending).
• Implemented data science workflows for data acquisition, cleaning, and storage; model training, tuning, performance evaluation, prediction, and productionization; and reproducible analysis.
• Executed business development, accounting/finance, administration, and human resource functions.

Minneapolis And St. Paul, Minnesota, US

• Designed, conducted, and analyzed plot-trial agronomic experiments investigating nitrogen and irrigation management practices for potato production systems with the objective to protect water resources, mitigate.
• Communicated research in 4+ peer-reviewed articles, 10+ technical reports and articles, and 20+ conference and industry presentations.
• Analyzed experimental results using inferential methods including generalized linear mixed effect models with repeated measure, non-linear mixed effect models, and non-linear Bayesian hierarchical models.
• Developed decision support tools based on supervised regression, biophysical & agronomic algorithms, and crop growth simulation models using real-time data integrated from remote sensing and IoT sensors.
• Compiled over 30 site-years of historical experimental trials using and data wrangling and functional programming methods to enable novel meta-analysis.
• Used exploratory analysis and data visualization for hypothesis generation and scientific communication.

• Conducted policy advocacy, stakeholder engagement, and data analysis related to hydrology and water quality policy initiatives
• Authored a technical report and a journal article intended to inform water resource policy related to agricultural impacts on groundwater quantity and quality

• Created a peer mentoring program that supported over 100 first-year college students over two years
• Managed a team of 5 co-program student leaders and 60 student mentors

Doctor Of Philosophy - Phd, Water Resources Science

Bachelor Of Arts (B.A.), Natural Science

Study Abroad

Diploma, Honors/College Preparatory