Matthew Paff Email & Phone Number

Austin, Texas, Us

• Architected and implemented multiple internal products for Gambit’s consumer intelligence platform including address validation, entity resolution, anomaly detection, data mining, and consumer segmentation powered by a combination of graph (Neo4j) and relational database technologies (PostgreSQL).• Built and automated data scraping pipelines from heterogeneous data sources to augment Gambit’s consumer intelligence and address verification database (Scrapy and Prefect).• Led data science consulting projects for external clients to define, design, and develop machine learning products to meet clients’ business needs. • Led technical business development efforts to engage external consulting clients to define, scope, and execute data science services for multiple six-figure accounts.

Austin, Texas, Us

• Led teams of 2-3 data scientists in client engagements to define, prioritize, and build machine learning solutions to meet business needs.• Lead consultant for fortune 500 video game company client; collaborated with client’s internal analytics team to define and develop analytics solutions to identify and make recommendations on balancing of specific in-game assets to improve gamer experience.• Lead consultant for hedge fund client; delivered analytics and statistical models that leveraged unique datasets from underlying assets tied to publicly traded companies, among which included models capable of estimating revenue within 0.5-5.0% of reported quarterly earnings, beating Wall Street consensus by several points on multiple occasions.• Led data science team for same hedge fund in design and implementation of automated analytics pipelines, including ownership over a ground-up system for anomaly detection which was integrated across all data ingestion workflows.

Austin, Texas, Us

• Implemented data warehousing solution for ingesting biometric and self-reported wellness data for in-house pilot (PostgreSQL database deployed on GCP) and built Flask web application for visualizing and surfacing relevant trends, patterns, and relationships.• Led the design, development, and implementation of real time unsupervised anomaly detection models in a streaming pipeline and deployed on GCP.• Led data science team in collaborating with several different groups (UI/UX, Product, Software, Hardware, R&D) to define, scope, implement, and ultimately deliver analytics and modeling requirements.• Collaborated with UI/UX designers in developing data visualization strategies for communicating streaming sensor data to end users, including building POC Dash web applications using Python.

San Francisco, Ca, Us

• Worked as a consultant for Ovation.io; a provider of cloud-based LIMS and commercial platform for specialized diagnostic labs. • Implemented logistic regression models in python using patient genotype features and clinic information to identify patients at risk for opioid dependence.

Austin, Tx, Us

• Taught undergraduate biology, facilitating supplementary teaching sessions outside of normal lecture to help improve students’ understanding of course material• Managed up to 8 undergraduate teaching assistants, coordinating meetings and schedules to help improve their teaching abilities.

Austin, Tx, Us

• Genetically engineered rationally designed viral attenuations in bacteriophage T7. • Analyzed hundreds of GB of RNA-seq data using R and Python.• Evaluated differential gene expression using statistical approaches in R to demonstrate that viral growth was significantly and stably reduced at the genetic and phenotypic levels.• Developed a series of differential equations to simulate population-level dynamics of transmissible vaccines in Mathematica using bacteria and bacteriophage in both natural and engineered systems. Demonstrated their efficacy by coupling numeric simulations with empirical validation.• Identified and demonstrated the use of viral enzymes as effective antibiotic agents using an in vivo mouse model, providing a potential alternative antibiotic treatment strategy.

Austin, Tx, Us

• Implemented an antiviral strategy using chemical mutagens to induce lethal mutagenesis. Demonstrated the use of elevated mutation rates in vivo as an effective antiviral strategy.• Evaluated the risks of failed lethal mutagenesis in viruses through long-term evolution experiments. Highlighted their increased adaptive ability in response to antiviral treatments.

Doctor Of Philosophy (Phd), Cell And Molecular Biology

Bachelor Of Science (Bs), Biochemistry