Resume

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📄 Resume

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Education

University of Maryland

College Park, MD
BS, Computer Science (2nd Bachelor’s degree)
August 2024 – Present

• GPA: 4.00

Oregon State University

Corvallis, OR
BS, Chemistry
September 2015 – September 2019

Experience

Axle Informatics / National Institutes of Health (NIH)

Baltimore, MD
Linux Administrator and Data Processor (Contractor)
May 2024 – Present

• 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)

Baltimore, MD
Postbaccalaureate Research Fellow
August 2022 – May 2024

• 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

Portland, OR
Undergraduate Intern
Summer 2018

• 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

Portland, OR
Undergraduate Intern
Summer 2016

• Created a bioinformatics workflow using the Galaxy platform to analyze genomic data.

Publications

^{C = Conference, J = Journal, S = In Submission, T = Thesis}

1. [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.
   Psychiatry Research, 339, Article 116058.

2. [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.
   arXiv preprint arXiv:2406.14462.

3. [C.1,2] Z. Fried, et al. (2024).
   Exploring Sexualized Cannabis Use: A Linguistic Analysis of User Experiences.
   Presented at:
   • International Conference on Computational Social Science (IC2S2), University of Pennsylvania, July 18–20, 2024
   • International AAAI Conference on Web and Social Media (ICWSM), June 3–6, 2024, Buffalo, New York, USA
   • College on Problems of Drug Dependence (CPDD)
4. [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.

Skills

• Programming Languages:
  Java, Bash, Python, R
  (Including notable libraries like 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