Dominic Dawes Email & Phone Number

Washington DC-Baltimore Area

Lexington, Massachusetts, United States

Software to ML development for telecommunication systems and edge ML at the Lincoln Lab

Tampa, Florida, United States

Durham, North Carolina, United States

- Completed an in-depth assessment of the necessary user requirements for development of an MVP and translated them into actionable in-app features- Developed application front-end design for using SwiftUI and MVVM architecture.- Designed and implemented a NoSQL database for reading heavy mobile applications using Cloud Firestore (Google Cloud Platform).

Durham, North Carolina, United States

• Spearheaded automatic labeling of signal features from clinical scans from the CardioFlux magnetocardiography
• Designed and algorithm using SciPy peak detection and Savitzky-Golay filtering to find the P, Q, R, S, and T-peaks, and the start and end points for the P-wave, QRS-wave, and T-waves of patient magnetocardiogram scans
• Evaluated the algorithm's accuracy on the team’s clinical data set by calculating the error between the predicted and hand-labeled features
• Implemented a linear regression model to determine the optimal parameters for generalized automatic labeling

Durham, North Carolina, United States

• Created CaseViewer v1.0.0, a mammogram case visualization tool for radiologists examine tumors predicted by ML using ImageJ and python
• Prepared and labeled of 3D mammogram tomography data for training with YOLO object detection neural net

Durham, North Carolina, United States

• Utilized OpenCV and Sk-Image to skeletonize blood vessel structures for use in training and test data sets
• Scripted algorithms to automatically label blood vessel bifurcation and key features in training data sets
• Represented key features of segmented retinal vasculature using feature point histogramConducted literature review on the use of Siamese Neural Networks similarity scoring

Irvine, California, United States

• Designed CAD models of the aortic sinus to conduct computational fluid dynamics (CFD) valve testing simulations
• Performed comparative analysis of single valve vs. valve-in-valve TAVR procedure and identified regions of low velocity and vorticity in the aortic sinus that can lead to an increased risk of thrombosis
• Participated in design verification of valve-in-surgical TAVR deployment. Tests included accelerated wear testing (AWT) for 400M cycles, frame fatigue testing, and valve migration testing

Philadelphia, Pennsylvania

• Worked within the Technology Strategy group with a focus on strategy solutions for a wide array of Life Sciences and Pharma ClientsNotable Client Work Includes:
• Competitive benchmarking of the Diabetes Patient Care Program @ Global Pharmaceutical Company
• Assessment of patient pain points through care pathway
• Testing and launch of the Patient Connect Portal @ Global Pharmaceutical Company
• Migration of Patient/Physician Portal from its legacy CRM platform to Salesforce Lightning @ Global Pharmaceutical Company

Greater Pittsburgh Area

• Engaged in research project focused on the development of 3D printed bioreactor used to decellularize tissue
• Analyzed fluid dynamics of bioreactor with LabView using data collected from a digital flow rate sensor

Kingston, Jamaica

• Attended daily scrum meetings
• Consumer beverage line was initially experiencing inefficiencies
• Performed diagnostic tests to identify the root cause of the wasted beverage cans
• Resolved the problem by expanding the bore size of the filling nozzle and adjusting filling line machine parameters

Rwinkwavu, Rwanda

• Assessed public health outcomes in rural areas surrounding Rwinkwavu, among the challenges faced were the lack of access to medications, high cost of clinical care, and difficulty accessing healthcare facilities
• Analyzed and presented findings to regional PIH leadership team

Greater Pittsburgh Area

• Developed improved method to extract nerve fiber tracts from patient MRI data using Matlab and DSI Studio
• The developed Matlab script increased the true-positive ratio of nerve fibers extracted from 70.5% to 99.1%, and was added to the lab’s MRI data processing library

Greater Pittsburgh Area

• Raised funds for various allocations on campus (Engineering Dept, Student Clubs, Athletics, etc.)
• Built relationships with longtime donors
• Cultivated new relationships with new donors

Greater Pittsburgh Area

• Manufactured drug filled degradable PLGA polymer microspheres used in live rat model experiment
• Sectioned animal model tissue samples and analyzed them using H&E staining and brightfield microscopy
• Presented findings at the Bioengineering Department research conference

Greater Pittsburgh Area

• Assisted with research that focuses on the effect of anesthetics on mouse visual cortex activity
• Data was collected using a computer brain interface (CBI)
• Conducted statistical data analysis using Matlab

Master Of Science - Ms, Bioengineering And Biomedical Engineering

Concentration: Medical Software Design

Bachelor Of Science - Bs, Bioengineering And Biomedical Engineering

Activities and Societies: Chapter NSBE Public Relations Chair, MASCARO Institute Student Assistant, Excel MentoringMinor: Computer Science