Informatics or Research Assistant

STEVEN HAMEL

**** ****** ****** ************, ** 19104 215-***-**** ******@****.*****.*** www.linkedin.com/in/steven-hamel EDUCATION

University of Pennsylvania, School of Engineering and Applied Science May 2020 B.S.E in Bioengineering Minor in Mathematics GPA: 3.28 Societies and Honors: National Society of Black Engineers; ACHA Academic All-American Honors SKILLS

Machine Learning, Full-Stack Web Development, Statistical Data Analysis and Learning, Database Management Software: R, Python, git, BASH, Linux, C#, MATLAB, Google Cloud, AWS, MongoDB, .NET, REST API, WordPress WORK AND PROJECT EXPERIENCE

Biomedical & Health Informatics, Children’s Hospital of Philadelphia Student Informatics Asst. June 2019–Apr. 2020

• Developed a user-friendly app to allow researchers to train and test deep learning on medical images

• Trained a novel machine learning algorithm to automate scoliosis treatment prediction process

• Designed object recognition Machine Learning algorithm to locate tumors in pediatric ultrasound images

• Assisted the development of pilot projects to test deep learning for image analysis with two clinical research labs Senior Design Project, Department of Bioengineering, University of Pennsylvania Aug. 2019–Apr. 2020

• Created an app that connects to common stethoscopes to predict lung diseases using Python, BASH, and Amazon Web Services Cloud and Linux platform

• Awarded $3,000 grant and four workshops to guide product design from the National Science Foundation I-Corps Gordon Center for Medical Imaging, Harvard Medical School Boston, MA Research Assistant May 2019 – June 2019

• Month-long internship across multiple labs to take part in radiology research

• Assisted in the development of software for use on a novel Near-Infrared precision tumor imaging laser

• Assisted in dosimetry measurements for study on P.E.T. scan tracer’s safety Zderic Lab, Department of Urology, Children’s Hospital of Philadelphia Research Assistant June 2018 – Sep. 2018

• Modeled and developed system for real-time measurement of urinary flow to diagnose urinary diseases

• Created 3D model of system for virtual testing and 3D printing Li Lab, Institute for Biomedical Informatics, University of Pennsylvania Research Assistant Jan. 2017 – July 2017

• Created a neural network to categorize whether a patient had Type II Diabetes based on human gene expression

• Big data analysis of genomics data using bioinformatics packages in R LEADERSHIP & COMMUNITY INVOLVEMENT

Corona Connects Technical Director, Full-stack web developer March. 2020 – Present

• Built website from scratch, using WordPress and Amazon Web Services

• Managed WordPress database for opportunities

• Website matched thousands of volunteers to in-need organizations with unique matching method

• Received press in Penn Today and Daily Pennsylvanian newspaper Stimulus Children’s Theatre, University of Pennsylvania Tech Director Sep. 2017 – Present

• Manage interviews, communication and deadlines for 50 people per semester

• Attend theatre workshops with local schools and community centers per semester University of Pennsylvania Men’s Ice Hockey Treasurer, Academic Honors Sept. 2017 – August 2019

• Managed club funds, worked with budget, and collected dues from 18-25 members

• Attended community service events with Ed Snyder youth sports Private Peer Tutoring, University of Pennsylvania College Tutor Sept. 2017 – May 2019

• Tutor individuals and small groups in MATLAB and Python related data science courses RELEVANT PROJECTS

Brain Machine Interface (BMI): Created a BMI to interpret a user’s American Sign Language signals correctly within two guesses, using Signal Processing and Deep Learning networks for prediction Machine Learning Web-App: Created a web-app that allows doctors to create, train, and deploy Machine Learning Algorithms for image analysis without prior programming experience.

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