Brian Bober Email & Phone Number

Lawrence Township, Nj, Us

Lead engineering effort to overhaul internal small molecule data platform, streamlining data capture, sharing, standardization, and tracking of chemical compounds. • Architected reliable and scalable infrastructure by leveraging a range of AWS services, including Athena, Fargate, Batch, Lambda, S3, SNS, SQS, and Cloud Formation. • Utilized Airflow to manage ETL workflows to efficiently consolidate data across various internal and external sources, and to execute scientific pipelines. • Designed and deployed a PostgreSQL database to capture metadata and relational information from user uploads as well as ontological data related to internal chemistry databases. • Established a data lake and empowered queries across user-uploaded datasets via Athena and Glue. • Deployed a GraphQL API, ensuring seamless data retrieval for scientists and engineers.• Designed a Python library to simplify data exchange with the core chemoinformatics data platform, empowering scientists to share data and machine learning results.• Constructed a lightweight frontend using Typescript/Vue.js, facilitating search and retrieval of datasets.

San Diego, California, Us

Created a full stack application in AWS to launch and manage bioinformatics pipelines and interactively view resulting data. The goal was to standardize our tooling and enable biologists to easily and flexibly launch bioinformatics pipelines and view resulting data with rich visualizations. • Developed bioinformatics pipelines using in AWS using Step Functions, Batch, and Lambda• Designed a relational database to house bioinformatics data and associated metadata• Frontend with Vue.js/Typescript• Backend GraphQL API using Hasura and Python containers• AWS CDK infrastructure as code to deploy pipelines and applications

San Diego, California, Us

Created anomaly detection and alerting system to monitor time series data and customer complaints from hundreds of thousands of patients using glucose monitoring wearables. The system uncovered several ongoing issues and mobile phone incompatibilities resulting in app updates. • Leveraged Google Cloud Platform for pipeline orchestration and processing using Apache Airflow, Apache Beam, and Big Query. • Implemented Bayesian time series models in Python and STAN to detect anomalies in custom metrics. • Created interactive dashboards and data exploration tools using Vue.js.• Conducted analysis and reporting on the impact of app changes on user behavior and complaint volume.• Created and managed dashboard to visualize performance of Dexcom products used in hospitals for COVID-19 treatment, allowing engineers to assess product performance in a hospital setting.

• Automated data aggregation from electronic lab notebook system using R and SQL, and deployed dashboards using R Shiny to visualize and explore process development and manufacturing metrics.• Developed a suite of automated flow cytometry panels which used computational methods to choose gate placement and segment cell populations, resulting in faster and more accurate gate placements as well as organized and consistent result output.• Developed and deployed an internal computational biology web portal, streamlining and standardizing data analysis for biologists. • The web app featured a python REST API using Django, a PostgreSQL database, and Vue.js frontend and was containerized using docker. • Enabled end-to-end RNA Seq analysis with an intuitive interface that allowed users to define regression models and explore results. • Designed interactive data dashboards to monitor and explore experimental results with custom D3.js interactive plots.

San Diego, Ca, Us

• Determined root cause of two major types of production yield loss in the creation of sequencing flow cells using logistic regression and data visualization techniques in R. Confirmed results with experiments and rolled out fixes leading to cost savings of $750,000/year.• Led optimization of chemical vapor deposition process through DOE and statistical analysis, increasing process capability and reducing defect rate from 7 % to less than 0.5 %.• Coded automated statistical process control charting scripts in R to alert engineering team of process drift and failure rate spikes, allowing for preventative maintenance and quick responses.

La Jolla, Ca, Us

• Determined novel changes in neuron biomechanics and axonal transport following chemotherapy and published conclusions in 5 peer-reviewed manuscripts (3 first-author)

Doctor Of Philosophy (Phd), Bioengineering

Bachelor Of Science (Bs), Chemical Engineering And Biomedical Engineering