Brianna Mueller

*** * ********** **. 515-***-****

Iowa City, IA 52240 adjgha@r.postjobfree.com

EDUCATION

University of Iowa, Iowa City, IA

• Master of Science, Business Analytics (GPA 3.94) Anticipated, 05/2021

• Bachelor of Science, Human Physiology (GPA 4.08) 05/2020

RESEARCH INTERESTS

Machine Learning, Healthcare Analytics, AI/Deep Learning

AWARDS AND HONORS

Recipient, Bowers Trust Scholarship, University of Iowa 08/2019 – 05/2021

Recipient, Warren and Maryellen Boe Summer Research Fellowship 05/2020

Recipient, Old Gold Scholarship, University of Iowa 08/2016 – 05/2020

Honoree, President’s List, University of Iowa (4.0) 6 semesters EXPERIENCE

Graduate Research Assistant 08/2020 – 01/2021

Department of Business Analytics, University of Iowa

• Developed a machine learning model to predict delirium based on patient medical history and conditions observed in the emergency department.

• Adjusted the classifier’s probability threshold to prioritize sensitivity over specificity in order to optimize the classifier’s clinical use as a screening tool to detect high-risk patients. Boe Summer

Research Intern 05/2020 – 08/2020

Department of Business Analytics, University of Iowa

• Employed scientific computing packages in Python to process electronic health record data.

• Identified a combination of demographic and clinical variables that are predictive of delirium.

• Presented research findings to the grant donors and faculty in the Department of Business Analytics.

Research Intern 08/2018 – 12/2018

Department of Exercise Science, University of South Florida

• Collaborated with faculty to conduct a research study exploring variables that enhance muscle hypertrophy.

• Assembled and analyzed the literature on prior research to be used as cross-references in the manuscript.

• Recorded and organized the study data for 40 subjects in Excel to be used for analysis upon study completion.

PAPERS AND PRESENTATIONS

“Machine Learning Algorithm to Predict Delirium from Emergency Department Data” (with Sangil Lee, Nick Street, and Ryan M. Carnahan), Submitted for review.

“Delirium Screening: A Machine Learning Approach” 08/2020 Boe Fellowship Presentations, University of Iowa

PROJECTS

Classification of Oligonucleotide Sequences 2020

Analytics Experience, Department of Business Analytics, University of Iowa

• Consulted with the DNA manufacturing company Integrated DNA Technologies under the supervision of Jim Chaffee to gain business insights from a dataset of 9M+ customer order records.

• Performed a sliding window analysis to recognize reoccurring sequence patterns in DNA orders and identify trends in customer ordering behavior.

• Derived a multi-class classification model for labeling custom oligonucleotide orders as one of six predefined product lines to better understand revenue breakdown by product.

Twitter Sentiment Analysis 2020

Social Analytics, Department of Business Analytics, University of Iowa

• Applied text processing techniques to Twitter data to perform a sentiment analysis on tweets related to the implementation of distance learning that occurred as a result of COVID-19.

• Calculated polarity and subjectivity scores of tweets and discovered underlying themes in Twitter conversation surrounding distance learning by applying topic modeling methods.

ADDITIONAL INFORMATION

Leadership

• Member, University of Iowa Women in Business Spring 2018, 2019

• Editorial Team Member, University of Iowa Her Campus 08/2016 – 01/2017

Programming skills

• Python (Scikit – Learn, Pandas, Numpy, Matplotlib, TensorFlow, Keras)

• R (Caret, dyplyr, pROC, Rpart)

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