Resume

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📄 Resume

Alternatively, you can browse the content of my resume below:

Education

• University of Maryland
  August 2024 - Present
  BS, Computer Science (2nd Bachelor’s degree)
  College Park, MD

• Oregon State University
  September 2015 - September 2019
  BS, Chemistry
  Corvallis, Oregon
  GPA: 3.66

Experience

• Axle Informatics/National Institutes of Health (NIH)
  May 2024 - Present
  Linux Administrator and Data Processor (Contractor)
  Baltimore, MD
  • Automated backups, monitored file system integrity, and optimized data processing by developing custom Bash, Python, and MySQL scripts, resolving system overloads and improving operational efficiency.
  • Deployed and managed Docker containers to host web applications and authentication services, boosting system scalability.
  • Authored technical documentation, including installation guides and system configurations, adopted by multiple research labs to enhance efficiency.
• National Institute on Drug Abuse (NIDA/NIH)
  August 2022 - May 2024
  Postbaccalaureate Research Fellow
  Baltimore, MD
  • Engineered a scalable data pipeline to process large-scale Reddit datasets, implementing text normalization, tokenization, and dictionary extraction techniques to ensure high data quality.
  • Optimized data transformation scripts, standardizing smartphone sensor data for seamless integration with a digital biomarker analysis platform.
  • Developed a program utilizing multiple APIs, including OpenAI’s API, to automate literature review and meta-analysis paper selection processes.
• Cell, Developmental and Cancer Biology - OHSU
  Summer 2018
  Undergraduate Intern
  Portland, OR
  • Added functionality to an R package to compare 3D structures in cancer treatment plans using the Sørensen-Dice coefficient, improving accuracy and efficiency in radiation oncology software.
• Providence Portland Medical Center, Earle A. Chiles Research Institute
  Summer 2016
  Undergraduate Intern
  Portland, OR
  • Created a bioinformatics workflow using the Galaxy platform to analyze genomic data.

Skills

• Programming Languages: Bash, Python, R (including packages and libraries such as Pandas, Numpy, Matplotlib, Seaborn for Python; dplyr, ggplot2, readr, stringr, lubridate, jsonlite for R)
• Database Management: Proficient in SQL with experience in MySQL, SQLite, MariaDB
• Development Tools: Experienced with Git, GitHub, Docker, AWS

Publications

C = Conference, J = Journal, S = In Submission, T = Thesis

• [J.1] S. Giorgi, T. Liu, K. Isman, Z. Fried, J. Sedoc, B. Curtis. (2024). Evaluating generative AI responses to real-world drug-related questions. In Psychiatry Research, Vol. 339, Article 116058.

• [J.2] S. Giorgi, T. Liu, A. Aich, K. Isman, G. Sherman, Z. Fried, J. Sedoc, L.H. Ungar. (2024). Explicit and Implicit Large Language Model Personas Generate Opinions but Fail to Replicate Deeper Perceptions and Biases. In arXiv preprint arXiv:2406.14462.

• [C.1,2] Z. Fried, et al. (2024). Exploring Sexualized Cannabis Use: A Linguistic Analysis of User Experiences. Presented at the International Conference on Computational Social Science (IC2S2), University of Pennsylvania, July 18-20, 2024; the International AAAI Conference on Web and Social Media (ICWSM), June 3–6, 2024, Buffalo, New York, USA; and the College on Problems of Drug Dependence (CPDD).

• [T.1] Z. Fried. (2019). Application of a Weighted Dice Similarity Coefficient (DSC) for Structure Comparison in Radiation Treatment Planning. Bachelor’s thesis, Honors College, Oregon State University.