working on some more cool stuff :P

Built a Generative AI-powered chatbot to help stakeholders navigate vaccine toolbars and automate processes of 11 vaccine-related applications such as sales forecasts, performance reporting, launch planning, and campaign resources

Zhipeng Lu Lab - Computational RNA Research

Currently working with an amazing team to offer harm-reduction + overdose-prevention resources :)Content:‣ Leading four research teams in analyzing peer-reviewed documentation on various substances.‣ Transforming scientific information on substances into educational infographics to promote safety and enable informed decision-making among communities.Grants:‣ Leading a team that applies for grants to secure funding for TACO's operations, including fundraisers and the purchase of resources like Narcan and Fentanyl test strips.‣ Recently collaborated with a TACO founder to apply for the Westly Prize Grant, where we secured $5,000 as finalists.

Played a key role in enhancing remote patient monitoring capabilities in multiple roles: ‣ Automated Data Retrieval: Lead development in extracting raw patient data from various devices and tablets, leveraging APIs and Python. ‣ Data Insights & Analysis: Utilized Python to analyze and provide actionable insights for clients regarding health alerts, patient-provider communications, provider performance, and patient profiles.‣ Platform Development: Defined and developed permissions and roles for the remote patient monitoring platform to ensure appropriate access and functionality.‣ Feature Testing: Conducted thorough testing of various features, including alerts, messaging, and video calls, to ensure seamless operation and user experience.

Utilized machine learning to classify whether or not a patient's melanoma was metastatic to optimize clinical decision making: ‣ Model Development: Applied and optimized various classification algorithms, including XGBoost, Naive Bayes, Random Forests, and Decision Trees, to evaluate performance in predicting metastatic melanoma.‣ Performance Evaluation: Assessed models using metrics like accuracy, precision, and recall, identifying XGBoost as the best model.Also mildly important:‣ Pinball Performance: Scored 125,000,000 on the Merck pinball machine

At Stanford's SASI program, I gained hands-on experience in medical techniques like intubation, suturing, and life support. The internship also featured numerous guest lectures in which I learned about and interacted with researchers and preexisting and upcoming technologies in the medical world. Additionally, I worked closely with peers and ALS patients to form a blueprint for a device to help patients suffering from ALS with day-to-day activities.