Nick Gondek Email & Phone Number

Berkeley, CA, US

Berkeley, CA, US

Built and maintained regulatory API, using large language models (LLMs) to semantically surface federal, state, and local regulatory documents and land use plans, to reason about and summarize siting and permitting requirements for novel clean energy development.Collaboratively developed and updated development roadmap for product MVP and major versions.

Leads a multidisciplinary team of geneticists and software engineers in the development of machine learning and statistical models, including image segmentation and classification for fruit maturity and abundance, linear mixed effects for variety growth performance across environment and management conditions, principal component and structure analysis for.

Chicago, IL, US

Accelerated Hohonu’s efforts to provide low-cost, solar-powered, networked water level sensors by designing novel PostgreSQL relations and redesigning schemas according to best practices. Authored an automated workflow to retrieve NWS, GFS, and NCEP wind speed/direction data for survey locations for integration into Hohonu’s time-series predictions of.

Washington, District Of Columbia, US

Authored 5 ‘explainers’ on technical underpinnings of machine learning, including reproducible simulations in Python, prevalent industry applications, and social implications, to inform US policymakers on AI issues. Evaluated real-world feasibility of technical proposals and legislation (including the ACCESS Act, EU’s GDPR, and CA’s CCPA) to promote.

Chicago, Illinois, US

Developed novel automated tools in Python to detect changes in patent holders’ employer via LinkedIn updates, ensuring Polsky’s ability pay out liabilities and greatly reducing reliance on costly manual review. Provided consult on the transfer of Polsky’s intellectual property, business, and contact information to new SQL database, maximizing consistency.

Santa Cruz, CA, US

Trained, deployed, and evaluated end-to-end machine learning approaches to process and analyze high-dimensional data from microphones, cameras, drones, and satellites. Developed and executed R data transformation pipeline, turning raw data streams into rigorous statistical insight and informative visualizations on endangered species abundance for.

Completed an original research project simulating the effects of differential subsampling techniques on accuracy of genetic mark-recapture models using parallelized R simulation and model estimation workflow. Presented analysis and recommendations for quantitative ecologists in presentation to the Wildlife Society, informing ongoing literature on approach.

Captured target passerine species for the purpose of fecal sampling, radio transmitter fixing, and banding. Tracked adult and juvenile birds by way of radiotelemetry and obtained behavioral observations. Sampled invasive and native vegetation for abundance, distribution and phenological activity. Participated in outreach events with Oahu area students.

Captured target passerines of the Coconino National Forest for a 25+ year life history study and a 4+ year metabolic expenditure study along with a team of 30+ researchers. Collaborated with graduate students and principal investigator to gather blood samples, morphological measurements, radio-telemetry based locations, among others. Transferred data to.

Masters Of Science In Computational Analysis Of Public Policy, Emphasis In Statistics And Computer Science

Bachelor'S Of Science, Dual Major In (1) Fisheries, Wildlife Conservation Biology And (2) Env. Sciences, Policy And Mgmt