Enhancing capabilities in real-world data analysis and leading the development of machine learning models for AI-based sensors, with a focus on managing and interpreting complex datasets.

• Utilized and improved advanced 3D printing tools to design and fabricate a continuous flow device, enabling the examination of cell deformability as a critical factor for phagocytosis-like particle and drug uptake in cancer cells.• Led, designed, and built a work plan for an innovative research project focused on developing a predictive platform for cancer diagnostics to empower clinical decision-making processes within the pharmaceutical and medical industry, leveraging the biomechanical properties of cancer cells – from experimentation and data collection to data exploration, feature engineering, statistical modeling, and model evaluation.• Development of a cutting-edge microfluidic flow chip, enabling the accurate simulation of physiological conditions for precise measurements of particle uptake and drug treatment in 3D cultures.

• Used NLP and machine learning methods for a real-world data science project for Explorium, which focused on building a crime mapping platform for collecting statistical data based on geographic location.• Used NLP and machine learning tools for predicting and analyzing conversations in the Reddit WallStreetBets forum to generate stock-market recommendations for the subsequent day.

Selected as a team member for the BioDesign: Medical Innovation Program, co-inventor and leading engineer of a new medical device.

• Designed and fabricated a micropaterning platform to assess the effects of XYZ on the early differentiation of embryonic stem cells• Developed and executed research plans requiring coordination between two diverse labs, bridging together protocols in extracellular biophysics research and stem cell differentiation in microscale environments• Designed and fabricated different micro-fluidic systems

• Adapted and optimized automatic in vitro blood analysis procedures for a microfluidic cartridge-based FACS diagnostic device that simplifies instrument use by combining biochemical reagents and microfluidic structures in a self contained single-use cartridge that provides all pre-analytical and analytical functions• Designed and implemented an R&D protocol for the testing of new system applications and comparing them to existing systems on the market as a benchmark tool for aiding in R&D directive decision making