Profile Details

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USD 75 /hr

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Hire Dr. David N.

United States

USD 75 /hr

Freelance Data Scientist | Expertise in medical applications

Profile Summary

Ph.D. in Electrical and Computer Engineering with concentrations in machine learning, statistical testing, and biomedical signal processing. Several years of experience with electronic medical data and medical devices.

Subject Matter Expertise

• ★ Data Science
• ★ Machine Learning
• ☆ Deep Learning
• ☆ Health Data Analysis
• ☆ Bioinformatics
• ☆ Medical Devices

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Market Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Algorithm Design-Non ML, Data Visualization

Work Experience

Research Electrical Engineer

US Food and Drug Administration

September 2019 - Present

ORISE Fellow

US Food and Drug Administration

September 2016 - August 2019

Graduate Assistant

University of Maryland at College Park

September 2015 - September 2016

Server Systems Engineer

Epic Systems Corp

August 2014 - September 2015

Education

PhD (Electrical and Computer Engineering)

University of Maryland at College Park

September 2015 - May 2020

MS (Electrical and Computer Engineering)

University of Maryland at College Park

September 2015 - December 2018

BS (Engineering)

Swarthmore College

September 2010 - June 2014

BA (Mathematics)

Swarthmore College

September 2010 - June 2014

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

David O Nahmias, Kimberly L Kontson, David A Soltysik, Eugene F Civillico(2019). Consistency of quantitative electroencephalography features in a large clinical data set . Journal of Neural Engineering. 16. (6). p. 066044. {IOP} Publishing

CONFERENCE PAPER

D. O. {Nahmias} and K. L. {Kontson}(2019). EEG Spectral Connectivity Analysis in a Large Clinical Population . 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER). p. 41-44.

D. O. {Nahmias} and K. L. {Kontson} and E. F. {Civillico}(2017). Learning EEG: Identification of novel electroencephalogram classifications and variability of baseline features in a large clinical dataset . 2017 International Symposium on Wearable Robotics and Rehabilitation (WeRob). p. 1-2.