- Complete computational simulations to inform and support Clinical Research and Development strategies.- Collect customer feedback and insight on clinical workflows and clinical use of Abbott's Electrophysiology products.- Design, conduct/supervise, and support bench and preclinical studies for product concept feasibility and formal regulatory submission

- Provide advanced technical support regarding implantable pacemakers, including delivery catheters, sheath introducers and advanced device programming (signal processing, arrythmia discrimination, etc).- Synthetize customer and patient needs into clinically relevant solutions during implant procedures and device follow up.- Present literature evidence to demonstrate clinical capability and/or competitive advantage in response to complex field inquiries from health care professionals and patients.- Adapt to quickly shifting customer priorities and schedule to ensure adequate case technical support.- Cultivate positive relationships based on technical ability, responsibility and responsiveness.Achievements:- Identified and addressed a customer need by developing/deploying a custom algorithm in Python to streamline processes as well as aggregate and visualize data, achieving a productivity increase of ~300%.- Placed 4th (out of 10) in the Abbott Cardiac Rhythm Management Innovation challenge team competition for proposing a more efficient patient remote monitoring process.- Effectively trained a cardiac device clinician through the development and delivery of a series of training in-services specializing in cardiac devices.

- Developed and preprocessed highly irregular 3D geometries to build CAD/FEA models of middle-ear solid, fluid and acoustic mechanics.- Revised non-uniform 3D CAD models to reduce geometrical discontinuities while maintaining accuracy.- Validated 3D FEA simulations based on published data and that reproduced key findings.- Defined the project’s hypotheses to study the critical interactions of normal and diseased middle–ear pressure regulation mechanics - Designed the sequence of experiments and statistical analyses for the entire length of the project to evaluate the project’s hypotheses as well as ensure low false-positive probability, physiological accuracy of the results, and adequate sampling.- Managed all data related to the project to ensure adequate data quality and storage.- Designed Matlab and Simulink algorithms to automate computer simulations and streamline post-processing of data for statistical analysis, resulting in increased efficiency and accuracy.Achievements:- Predicted novel, critical interactions of normal and diseased middle–ear pressure regulation mechanics as well as correlations with its phenotype in well-known diagnostic tools.- Automated FEA simulations and model post-processing by creating Matlab and Simulink algorithms that yielded a computer time reduction of up to 75%, from a max of 13 months to 1.6 - 3.2 months per study.

- Successfully co-coordinated 3 years of events for 300+ participants per event, that ranged from industry/academic recruitment programs to national conferences all with the goal of providing support to underrepresented groups.Achievements:- Developed an MS Excel algorithm that enhanced the efficiency of my team by aggregating data sources as well as simplifying the process and format of participant data, resulting in productivity improvements above 50%.

- Translated office needs from multiple units into website solutions that emphasized the impact of the office, improved ease of navigation and content searchability. - Lead and coordinated tasks for the university-wide recruitment initiative at the Southern Regional Education Board’s annual Institute of Teaching and Mentoring.

- Defined, managed and owned a project to investigate mechanical trends in fiberglass samples.- Defined hypotheses and an experiment design scheme (DOE) to produce new data that addresses the project’s objectives while ensuring acceptable statistical power, error, and time management.Achievements:- Pioneered the identification of new mechanical trends in research and production fiberglass samples, leading to the creation of new testing-protocols and considerations for future R&D.

- Assisted in the instruction of the course by leading recitation sections and grading homework.- Guided students in their process of building effective Matlab codes for biological system modeling.- Guided students in completing their Matlab physiological system modeling and COMSOL finite element analyses.- Added relevant Matlab tools and provided alternate coding practices to students.

To assist Freshman-level chemistry students in their course assignments and clarify questions during tutoring sessions and office hours.

- Performed data aggregation and visualization of NSF award/admin data.- Coordinated between stakeholders to maximize the value of project deliverables.- Translated between end user needs and algorithm constraints to guide dashboard development.- Assessed data quality and performed data cleaning using Oracle BI and MS Excel.Achievements:- Developed a highly praised, innovative, and streamlined NSF proposal evaluation dashboard that reduced review time/effort by more than 50%.

To develop a wireless wrist sensor device that transmits live body readings from an individual to an examiner (a researcher or a physician) using state-of-the-art wireless communication technologies.

To improve energy costs in AML-12 building by designing energy efficient chilled water Air Conditioning Unit and designing a low loss piping system to feed the chilled water.

Develop macros to remotely run finite element analysis software and report data; analysis of radiographic image slices of amputee leg prostheses & stumps; development of solid models for hip implants.

- Implemented Lean Manufacturing and Six Sigma tools, such as process mapping and takt time, that improved efficiency and productivity in the factory.- Completed manufacturing cell and lab layout design using AutoCad.

To develop a Finite Element Mesh for 3D models of Trans-Tibial Amputee patient's residual limb for simulation. To continue working on the publication "Quantifying Amputee Socket Fit Using Computed Tomography Data".

Analysis of 2D radiographic image slices of amputee leg prostheses & stumps, including obtaining biometric data to measure socket fit and conversion to 3D solid models. I used my skills in Image Reconstruction software (e.g. MIMICS) to construct three dimensional models and acquire measurements from patient residual limb CT images. Our goal was to study the patient-prosthesis fit to identify areas of opportunity.

Lead the Chassis Sub-Team to design and manufacture a chassis for the Supermileage Team of UPRM.