Matthew Paff

Matthew Paff Email and Phone Number

Biologist | Data Scientist
Matthew Paff's Location
Austin, Texas, United States, United States
Matthew Paff's Contact Details

Matthew Paff personal email

n/a
About Matthew Paff

Molecular Biologist with a passion for data science.

Matthew Paff's Current Company Details

Biologist | Data Scientist
Matthew Paff Work Experience Details
  • Gambit
    Chief Data Scientist
    Gambit Apr 2021 - Dec 2024
    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.
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  • Valkyrie
    Senior Data Scientist
    Valkyrie Dec 2019 - Apr 2021
    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.
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  • Nano
    Data Scientist
    Nano May 2018 - Dec 2019
    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.
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  • Insight Data Science
    Insight Health Data Science Fellow
    Insight Data Science Jan 2018 - Apr 2018
    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.
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  • The University Of Texas At Austin
    Teaching Assistant
    The University Of Texas At Austin Aug 2013 - Dec 2017
    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.
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  • The University Of Texas At Austin
    Graduate Research Assistant
    The University Of Texas At Austin Aug 2012 - Dec 2017
    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.
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  • The University Of Texas At Austin
    Research Assistant
    The University Of Texas At Austin Jun 2009 - Aug 2012
    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.
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Matthew Paff Skills

Research Data Analysis Molecular Cloning R Bash Github Bacterial Culture Bacterial Transformation Python Data Science Sql Rna Sequencing Analysis Molecular Biology Bioinformatics Computational Biology Machine Learning Data Visualization Programming Communication Pcr Polymerase Chain Reaction Latex Leadership Experimental Design Data Analytics Statistics Amazon Web Services Google Cloud Platform Rstudio Logistic Regression Regression Models Rna Anomaly Detection Python

Matthew Paff Education Details

  • The University Of Texas At Austin
    The University Of Texas At Austin
    Cell And Molecular Biology
  • The University Of Texas At Austin
    The University Of Texas At Austin
    Biochemistry

Frequently Asked Questions about Matthew Paff

What is Matthew Paff's role at the current company?

Matthew Paff's current role is Biologist | Data Scientist.

What is Matthew Paff's email address?

Matthew Paff's email address is ma****@****rie.com

What schools did Matthew Paff attend?

Matthew Paff attended The University Of Texas At Austin, The University Of Texas At Austin.

What skills is Matthew Paff known for?

Matthew Paff has skills like Research, Data Analysis, Molecular Cloning, R, Bash, Github, Bacterial Culture, Bacterial Transformation, Python, Data Science, Sql, Rna Sequencing Analysis.

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