Khang Duong Email & Phone Number

• Lead the deployment and customization of a Django-based image organization and viewer web application using Docker on university Linux servers, optimizing performance and security to meet lab needs• Develop Python scripts to automate the stitching, conversion, and compression of over 3,000 whole slide images (each up to 50 GB) into a standard file format, reducing file sizes by 90% to optimize the limited storage space• Implement a pipeline using Python to automate image ingestion, processing, and organization within the image viewer application, increasing efficiency by processing over 1,500 images per day compared to just 250 manually

Philadelphia, Pennsylvania, United States

• Developed and maintained 4 web applications for managing VoIP and Unified Communication services using HTML, CSS, JavaScript, jQuery, MySQL, PHP, and Python, serving over 200 administrators across the university• Created a Python wrapper module that interacted with 3rd party APIs to integrate cloud vendor services into university systems for use in various scripts and applications, enabling tasks to be completed 85% faster• Redesigned the user interface of 2 web applications, enhancing user experience, accessibility, and usability, and receiving positive feedback from 5 administrators• Optimized 3 back-end applications and scripts, boosting performance and reducing average runtime by 37%

Philadelphia, Pennsylvania, United States

• Developed Python and R scripts using the NeuPrint API to streamline analysis and visualization of the fruit fly hemibrain dataset (22,000+ neurons), reducing manual analysis time by 93%• Managed large neuron connectivity datasets (7M+ connections) using SQL, cutting data retrieval time by 95% and enabling efficient analysis and visualization of connectivity patterns• Identified 150 novel neurons through clustering analysis using Python, R, and Gephi to uncover circuit motifs• Studied the fruit fly’s neural networks to better understand neurons involved in the fly’s behavioral response• Dissected and prepared fly brains for confocal microscopy to validate novel neurons• Generated genetic tools for labeling and manipulating novel neurons in experiments• Led journal club discussions about research articles relevant to current projects and topics within the lab

Philadelphia, Pennsylvania, United States

• Reviewed and provided feedback to an IRB application and 4 manuscripts considered for publication in scientific journals• Conducted a systematic review using Mendeley to screen studies that utilize an exercise intervention as a way to treat patients with chronic kidney disease (CKD) and end-stage renal disease (ESRD)• Performed a statistical meta-analysis on the included studies from the systematic review to determine the effects of exercise intervention on the cardiometabolic risk factors in patients with CKD and ESRD• Wrote and submitted an abstract for publication consideration at the American College of Sports Medicine conference• Trained to effectively communicate and care for patients suffering with dementia• Listened and transcribed patient interviews in a qualitative study about using exergaming to help patients suffering from neuropathic pain after spinal cord injury

Bachelor Of Science - Bs, Computer Science

Activities and Societies: Table Tennis Club, Asian Student AssociationConcentrations: Machine Learning and Artificial Intelligence, Web.

High School Diploma

Activities and Societies: Swim team, Tennis team, Students Against Destructive Decisions, Hi-Q, National Honor Society, Foreign Language.