Andy Wang Email & Phone Number

Laboratory Of Computational Intensive Care Medicine

• Optimized data retrieval from MIMIC-III Clinical and Waveform databases, querying 398M entries using PostgreSQL, increasing efficiency by 26%.• Identified 17014 patients diagnosed with Traumatic Brain Injury (TBI); extracted ECG data, comorbidities, active medications, and treatment histories with stored procedures, window functions, and CTEs.• Utilized Python and BioSPPy to correct ectopic heartbeats and interpolate low-frequency ECG signals, improving clustering performance by 21%.• Employed Bash scripting to extract 15 heart-rate variability features, including time-domain, frequency-domain, and nonlinear measurements.• Discovered 7 new TBI subphenotypes through hierarchical clustering.

Gateway Computing Python (EN.500.113)• Held twice-weekly office hours for over 240 Gateway Python students, fielding questions, reinforcing programming techniques, assisting with projects, and ensuring students are equipped to succeed.• Graded projects and weekly homework assignments for 21 students, giving individually tailored feedback.

Rockville, Maryland, United States

• Tutored high school students in SAT Math and proctored regular diagnostic testing.• Helped students master fundamental algebra and geometry, introduced test-taking strategies andalternative math techniques, and gave individually tailored feedback.• Collaborated with peers in lesson planning.• Saw an average increase of 150 points on students’ SAT Math scores.

John Edison Lab

• Utilized C++ and Arduino libraries to transmit/receive timestamps between DWM1000 UWB transceivers in order to measure distances between these devices with accuracy ±10cm.• Designed and implemented a triangulation algorithm to determine the coordinates of a moving device relative to four fixed devices using distance measurements.• Used Python to receive positional data and timestamps from the fixed devices via serial communication, log data in CSV format, and visualize of positions over time.• Collaborated with JHU Makerspace to create cases for the devices wearable by athletes to generate insights on various sports strategies using players’ positional data.