Jon Katz Email & Phone Number

Digital products: a high throughput web tool for synergy and dose response analysis producing client-ready reports from raw plate data in seconds; a data portal for clients to view phase 1 pharma trial results in real-time directly from the ELN with statistical analysis and custom reports; a tool that efficiently manages cryo inventory to facilitate search & add/remove/rearrange thousands of vials per day.

Wrote tools to visualize and analyze 100k NGS/multi-omic data points using PHP, jQuery, and D3. RESTful API development in python fastapi and R plumber. Deployed with docker using AWS RDS/EC2/S3/Lambda/EKS/Cognito services.

Burlington, Vermont

Application design: * a ‘shiny’ app front-end for the Herring River Estuary Restoration project multi-criteria decision-analysis (via USGS, in development).* a ‘shiny’ front-end (‘OBA’, the Online Biogas App) for the R package ‘biogas’ (2016). Code auditor: * with the Wildlife Management Institute audited of the state of Minnesota deer population model, an R model used by the state Division of Fish and Wildlife to estimate the effect of hunting pressure on deer populations (2016). Database design: * a MySQL schema and MS Access front-end to track inventory and sales for annual fundraisers by the Winooski Natural Resources Conservation District (2013). * a MS Access database to track grant balance and quarterly reporting for the Wildlife Management Institute (ongoing since 2012).Web service interactions:* Quickbooks application development* Google Drive automationSurvey design:* web-based survey to gather expert opinion for the Herring River Restoration ProjectReporting:* Annual reporting for Vermont Monitoring Cooperative including textual and graphical summaries

Oracle, SQL Server database interactions Dashboards and dynamic reports with Shiny, RMarkdownInteractive data viz with D3Trend evaluation and prediction

Burlington, Vermont

Data management: * create automation functions and data storage structure for an adaptively managed wildlife management program capable of producing ~100,000 - 200,000 observations per week. Application design: * a "shiny" application for eliciting expert opinion on wildlife distributions. Programming: * R, HTML/CSS, javascript.

Burlington, Vermont

R package design:* package "AMModels" to store statistical models with relevant metadata, which facilitates a data-driven adaptive decision-making framework. * package "AMHarvest" for estimating harvested animal population size from harvest counts (package scheduled for submission to CRAN in 2017). * package "AMMonitoR" for refining automated monitoring data, including strategies for management of big-data (tables with ~10-20 million records). Application design:* "shiny" front-ends for both packages above. * "shiny" application for surveying experts about wildlife population distributions Web service interactions:* AWS S3 and RDS for file storage, user login and permissions. * MongoDB for user login, permissions, and experience management. * Dropbox application development* Google Drive application development

Burlington, Vermont

Project management:* manage data collection schedule and logistics* maintain hardware for data storage and analysis* manage subcontracted programmerR package design:* package "monitoR", to detect bird songs in digital recordings using binary point matching or spectrogram cross-correlation. This package also allows manual annotation of sounds on a spectrogram. Database design:* monitoR includes a MySQL database schema and pre-written queries to facilitate fast storage of detections. Decision analysis:* SMART analysis for making transparent multiple criteria decisions* Structured decision making training at National Conservation Training Center (NCTC)* Adaptive management training at NCTCStatistical analysis:* characterization of detection rates for each detection method in package monitoR (true positive, false positive, false negative, and true negative) and demonstration of a false-positive occupancy model using automatic detections.* MacKenzie-Royle single-season occupancy analysis (multinomial likelihood analysis).* Spatial analysis and mapping in ArcGIS* Bayesian likelihood analysis* Supervised (k-means) and unsupervised (random forest) clustering.* t-test, anova, chi-square, principal components analyses * Hidden Markov modeling, state-transition analysis

Davis, Ca

Managed a small field crew, including:* logistics of field work* custody transfer and well-being of water quality samples from field to labReporting:* Seasonal reporting with text, supporting tables and figures* Quality Assurance Project Protocol for transparent monitoring of agricultural runoff

Arnold, South Lake Tahoe, & Quincy, Ca

Doctor Of Philosophy (Phd), Natural Resources, 3.99

Bachelor Of Arts (Ba), Biology, 3.42