• Extracted, analyzed, and presented data from the hospital’s Electronic Health Record (EHR) to physicians and administrative leadership to identify operational weaknesses and trend quality performance measures• Developed a suite of live, actionable dashboards within the EHR that enhanced physician productivity and efficiency, resulting in statistically significant improvements in clinical quality measures • Designed and validated interactive dashboards embedded in the EHR for physicians to observe trends in their performance of clinical quality measures; launched a new series of dashboards currently in use to keep track of patient admissions to the Emergency Department and available inpatient beds• Assisted in the development of Quality Improvement reviews for the HIV/AIDS Department via the extraction and analysis of clinical data related to key performance metrics• Built features using data from the EHR to feed to a machine learning model aimed at predicting rates of patient compliance

• Used Machine Learning and Statistical Analysis on eye movement data to determine the level of expertise of United States Marine Corps helicopter pilots objectively• Analyzed microscopic blood flow and fluorescence images of mice brain and retina in order to assess approaches that could reduce retinal degeneration after traumatic ocular injury • Programmed visual illusions and animations using Python to study the neural links that lead to vision, sensory awareness, and perception• Implemented neuronal spike sorting algorithms on data acquired from awake monkey brains

• Worked alongside site director and founder on strategies for incubator’s expansion such as organizing networking events and a lecture series• Created content for business development in order to promote member startups to large biotechnology firms and provide a dialogue between them

• Conducted Electroencephalography (EEG) recordings to test the accuracy of a novel Transfer Learning algorithm• Piloted subjects through P300 Speller and Rapid Serial Visual Presentation (RSVP) Tests• Helped debug Transfer Learning code used to analyze EEG recordings

• Analyzed Latin America’s biotechnologies industry, as well as up-and-coming startups, for potential mergers and acquisitions based on their suitability for investment and potential international expansion• Contacted physicians and key opinion leaders in the Urology industry in Latin America to learn more about their most important needs regarding medical device use, regulation and service• Contributed with research in the South East Asian startup scene for potential acquisition targets for company’s sister fund MedTech Alliance. Conducted technical analysis and due diligence of startups’ technology and business model

• Developed text message programs for the Medico.Com.Vc platform, currently in use by thousands of patients for follow-ups on common surgical procedures• Worked on and helped launch SMSbebê, a free SMS-based program that monitors pregnancy and the first year of infancy for low-income Brazilian mothers and caregivers • Interviewed physicians and conducted research on the hospital and health insurance industries in Brazil for new ways to implement our technology into the existing system

• Acquired super-resolution images using a Zeiss Axiovert microscope. Analyzed and processed the data using a Bayesian Analysis of Blinking and Bleaching to reach resolutions greater than the diffraction limit• Investigated the locomotion of the parasite that causes Chagas disease (T. Cruzi) under fluid flow and proposed a mechanism as to how it attaches to the inner wall of blood vessels