Hi there, I'm Charlie! I'm a software engineer and full-stack web developer who is passionate about building sophisticated yet accessible programs to meet the needs of the end user. Through obtaining a Ph.D. in Biomedical Engineering and working in an engineering research environment for 10+ years, I gained extensive data analysis/acquisition programming experience and cultivated a passion for software and web development in the biotech/healthcare space. If you're interested in learning more, please feel free to get in touch with me:
Web app that automatically suggests food options based on user group's preferences; built using Django, SQLite, and Yelp Fusion API.
Website for a fictional luxurious taco restaurant with user-submitted recipes; built using Angular, Express, Node.js, MongoDB, and TacoFancy API.
Web app for real-time chatting that only allows users to send GIFs to one another; built using Spring MVC, PubNub API, and GIPHY API.
Keyboard synthesizer app built in JavaScript using the Web Audio API; has different octave, oscillator, and filter options, and ADSR and LFO controls.
Web app that generates random dad joke image macros; built using Spring MVC, MySQL, icanhazdadjoke API, Imgflip API, and Imgur API.
I have built three Alexa skills that are available to install on Amazon: Which Programming Language?, Sandwich Names, and Koala Facts.
Which Programming Language?
Sandwich Names
Koala Facts
Technologies used: JavaScript, Node.js, AWS Lambda, Amazon Alexa Skills Kit
Challenging features implemented:
Prior to working in web development, I had 10+ years of biomedical engineering research experience, resulting in 9 publications in academic journals and 2 patent applications.
Selected programming projects are described below:
I developed software in R and MATLAB to record and analyze electrophysiology data from cell cultures.
Press release: Lawrence Livermore unveils "heart-on-a-chip"
Publication: Simultaneous electrical recording of cardiac electrophysiology and contraction on chip (front cover article)
In this project (performed at Lawrence Livermore National Laboratory), I developed software in R and MATLAB to record and analyze impedance data from a multi-electrode array microdevice. Specifically, I characterized the action potential behavior of neuronal and cardiac cell cultures plated on the device:
This work was published in and featured on the front cover of the academic journal, Lab on a Chip, and won a 2017 LLNL Directorate Excellence in Publication Award:
I designed lab automation programs in LabVIEW for precise control of fluid movement for biological sample processing.
In this project (performed at Lawrence Livermore National Laboratory), I designed lab automation programs in LabVIEW to control fluidic hardware such as syringe pumps and multi-channel valves and precisely deliver small-volume samples of biological agents to a microdevice for purification and separation:
I implemented LabVIEW programs and created image analysis scripts in MATLAB for cell characterization.
Publication: Characterization of a hybrid dielectrophoresis and immunocapture microfluidic system for cancer cell capture (front cover article)
In this project (performed at Cornell University), I implemented LabVIEW programs to record the fluorescence intensity of cancer cells being trapped on electrodes as a function of electric field frequency, and wrote MATLAB scripts to automatically analyze these datasets to characterize the cells' electrical properties:
This work was published in and featured on the front cover of the academic journal, Electrophoresis:
One of my first programming experiences was an undergraduate class project on building voice recognition software in MATLAB!
I program MIDI instruments to make remix/mashup music videos and run a YouTube channel with 7,000+ subscribers, which has yielded 1,000,000+ video views and several product sponsorships.
Here are some of my most popular videos: