Samaneh Omranian

Highly motivated Ph.D. Student in Biomedical and Health Informatics at the University of Wisconsin - Milwaukee, specializing in applying artificial intelligence and natural language processing in healthcare. Proven track record in machine learning, data analysis, and visualization with extensive research experience. Award-winning academic performance complemented by a commitment to tech diversity and improving healthcare outcomes through technology.

• Chancellor's Award, 2017, 2018, 2019, 2020, 2021, 2022
• Dean's List, Spring 2017

• Predicting Opioid Dependence Medication Effectiveness Using reviews from Health-Related social media: A case study on Methadone and Buprenorphine/Naloxone, pre-print, JMIR Infodemiology, February 2022
• Topic Modeling in Opioid Dependence Treatment Reviews, published and presented at American Medical Informatics Association (AMIA) Conference, November 2020
• Information Retrieval of Opioid Dependence Medication Reviews from Health-Related Social Media, June 2020

- Data Collection from Drugs.com (a drug review website)

- Data Pre-processing: Used NLTK for splitting posts to sentences, removed stop words, etc.

- Data Annotation: Sentiment annotation, Health Belief Model annotation

- Feature extraction: Bigrams, Trigrams, POS, Stem N-grams, extract topic models using LDA approach

- Applying different machine learning algorithms

• NIMBLE Mobile App for Treating Brain Metastases, Froedtert Hospital and App Brewery, January 2020

- Virtual Tumor Board

- Real-time physicians access to consultations about their patient's care

- Data-driven patient treatment recommendations returned in hours - not days

• Gender-Specific Disparities and Temporal trends in pain/chronic pain medication (Mayo Clinic, Summer 2019)

- Utilized Twitter's 30-day Search Tweet API endpoint to automatically pull tweets

- Used python name-to-gender package to identify gender of the users

• Pain management Dataset from Social Media (Mayo Clinic, Summer 2019)

- To build this dataset, I used web scraping and API endpoint to extract data from social media channels such as Twitter, Reddit, WebMD, MedHelp, and Drugs.com

• Innovative Healthcare Quality Improvement Information Retrieval Systems (University of Wisconsin-Milwaukee, December 2018)
  - In this team project, we built an Information Retrieval (IR) system that indexes Twitter dataset and makes patient experience searchable to healthcare providers.
• Biomedical Text Classification to Advance Lupus Research (University of Wisconsin-Milwaukee, December 2017)
  - In this team project, collected and prepared abstracts on lupus, RA, and fibromyalgia from PubMed to be used as training data.
• Image Processing (University of Wisconsin-Milwaukee, October 2016- July 2017)
  In this project, I developed a 3D visualization toolbox for MATLAB based on functions that can be used on Mortimer to visualize hyperdimensional data sets
  - Main algorithm designer and Coder

.Persian    Fluent Mother language            .English    Academic level Second language

Research Trainee (March 2022 - Present) Brigham and Women's Hospital, Harvard Medical School, Boston, MA

• Analyzed the longitudinal Nurses Health Study, employing machine learning to examine the impact of various factors on health and disease development.

Publications:

• Omranian S. et al., "Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social Media," JMIR Infodemiology 2023. [DOI: 10.2196/37207]
• Omranian S. et al., "Leveraging Artificial Intelligence to Predict Health Belief Model and COVID-19 Vaccine Uptake Using Survey Text from US Nurses," Preprints 2023. [DOI: https://doi.org/10.20944/preprints202312.1877.v1]

Data Analyst Intern (January 2021 - January 2022) Evonik, Lafayette, IN

• Contributed to the software development cycle of custom web applications, utilizing PowerApps and PowerAutomate.

Biostatistics Scientist Intern (May 2019 - May 2020) Mayo Clinic, Rochester, MN

• Utilized Python for data analysis and visualization, including web scraping and API calls for social media data collection.

iOS Application Developer (January 2019 - May 2019) App Brewery at UW-Milwaukee, Milwaukee, WI

• Our team developed a new app that will speed up cancer treatment plans. [https://www.jsonline.com/story/news/2020/02/21/app-developed-milwaukee-helps-speed-up-cancer-treatment-plans/4823828002/], Froedtert Hospital and the Medical College of Wisconsin
  

Teaching Assistant (September 2020 - Current) University of Wisconsin Milwaukee, Milwaukee, WI

• Courses Taught: Intermediate Java Programming, C programming for Embedded Systems, Machine Learning for grad students

Instructor at Girls Who Code (September 2016 - Current) University of Wisconsin, Milwaukee, WI

• Inspired young women to pursue computer science degrees, focusing on creative thinking and problem-solving.

.Persian    Fluent Mother language            .English    Academic level Second language

Women's Advocacy Senator (2021-2022): Advocated for women's rights and contributed to policy discussions at the University of Wisconsin-Milwaukee.

Research Trainee (March 2022 - Present) Brigham and Women's Hospital, Harvard Medical School, Boston, MA

• Analyzed the longitudinal Nurses Health Study, employing machine learning to examine the impact of various factors on health and disease development.

Publications:

• Omranian S. et al., "Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social Media," JMIR Infodemiology 2023. [DOI: 10.2196/37207]
• Omranian S. et al., "Leveraging Artificial Intelligence to Predict Health Belief Model and COVID-19 Vaccine Uptake Using Survey Text from US Nurses," Preprints 2023. [DOI: https://doi.org/10.20944/preprints202312.1877.v1]

Data Analyst Intern (January 2021 - January 2022) Evonik, Lafayette, IN

• Contributed to the software development cycle of custom web applications, utilizing PowerApps and PowerAutomate.

Biostatistics Scientist Intern (May 2019 - May 2020) Mayo Clinic, Rochester, MN

• Utilized Python for data analysis and visualization, including web scraping and API calls for social media data collection.

iOS Application Developer (January 2019 - May 2019) App Brewery at UW-Milwaukee, Milwaukee, WI

• Our team developed a new app that will speed up cancer treatment plans. [https://www.jsonline.com/story/news/2020/02/21/app-developed-milwaukee-helps-speed-up-cancer-treatment-plans/4823828002/], Froedtert Hospital and the Medical College of Wisconsin
  

Teaching Assistant (September 2020 - Current) University of Wisconsin Milwaukee, Milwaukee, WI

• Courses Taught: Intermediate Java Programming, C programming for Embedded Systems, Machine Learning for grad students

Instructor at Girls Who Code (September 2016 - Current) University of Wisconsin, Milwaukee, WI

• Inspired young women to pursue computer science degrees, focusing on creative thinking and problem-solving.

Women's Advocacy Senator (2021-2022): Advocated for women's rights and contributed to policy discussions at the University of Wisconsin-Milwaukee.