About
Michael Liston
I am a data scientist with experience with deep learning, NLP, and other traditional statistical and machine learning methods/techniques. Outside of my career goals, I like long distance running, watching football and baseball.
Interests/Skills
- Natural language processing, Computer Vision
- Programming in Python, Rust, C, C#, Javascript
- Sports Analytics (baseball, football)
- Data Visualization (d3.js)
Work Experience
Data Scientist
Bureau of Labor Statistics, Office of Prices and Living Conditions | September 2022 to Present
- Develop and prototype applications in support of economists and statisticians using Flask, FastAPI, PyScript, PyQT, and other Python frameworks.
- Research methods of improving the calculations of the Consumer Price Index (CPI), Producer Price Index (PPI), and other metrics.
- Develop data visualization tools and dashboards using Tableau.
Primary Data Analyst
Department of Veteran Affairs, VA Palo Alto Clinical Command Center and Patient Experience | November 2019 to September 2022
- Support emergency department, surgical, and other acute care clinical staff through data visualization development, data preparation, cleaning, data process automation, and regression/statistical analysis using Python, SQL, and Microsoft Power BI
- Automate data extraction from VA data warehouses through SQL stored procedures, views, tables for data visualization, analysis, and reporting.
- Plan data infrastructure for clinical command center needs and future growth.
Research Assistant, Machine learning
Northern California Institute for Research and Education (NCIRE) | February 2019 to November 2019
- Serve as lead on the development of machine learning methods for prostate cancer AIDS research teams.
- Developed and designed machine learning pipelines and scripts for data cleaning, parameter search optimization, and data visualization. Using Python and R programming languages.
Data Analyst Intern
BRIDGE Housing Corporation | September 2018 to January 2019
- Clean and wrangle US census data for analysis and data visualization.
- Research and prototype data visualization methods using Microsoft Power BI.
Education
Master of Information and Data Science, University of California, Berkeley - 2021 to 2023
Master of Science in Business Analytics, St. Mary's College of California - 2017 to 2018
Bachelor of Science in Data Science, University of San Francisco - 2014 to 2017
Publications, Appearances and Projects
- • “MicroRNA determinants of neuroendocrine differentiation in metastatic castration-resistant prostate cancer”, Dec 2020
- • “Using neuronal extracellular vesicles and machine learning to predict cognitive deficits in HIV”, May 2020
- "CASANOVA: Creating Appealing Stories through Assimilation and NOVel Adaptation"