Christopher L. Email & Phone Number

Mountain View, Ca, Us

Mountain View, Ca, Us

Seattle, Wa, Us

SDE on Security Token Service team in IAM

College Park, Md, Us

Co-lead group of Engineering students aiming to develop an EEG device to diagnose Alzheimer's. Won $20,000 from NIBIB/NIH, and are BMES design challenges finalists. Presented at the BMES conference in Phoenix Arizona. We are featured in Forbes, Science Magazine, The Washingtonian, and more. Awarded over $40,000 in funding total from various competitions. Developed in Python, Matlab, Tensorflow, Scikit Learn & AWS to perform analysis and validation. Invited to first round interviews of Y Combinator

Seattle, Wa, Us

Designed method of automatically predicting which consumers of AWS STS API will get throttled.Automatically alerted at-risk consumers of possible throttling to reduce firefighting and service outages.Consolidated incongruent data from 4 different sources to create alerting workflow.

New York, New York, Us

Developed Internal Developer Dashboard using React and .NET for internal developers to keep track of code reviews, tasks, and status of product builds. Used AWS EC2 & Ansible to host staging site, and Jenkins for continuous integration.

College Park, Md, Us

Using Python, Unix, and VMD to elucidate the mechanisms behind allosteric interactions. Developed novel method of identifying critical amino acids. Used on campus Cluster to run computationally heavy molecular simulations.

College Park, Md, Us

I and a co-founder developed an app to perform sentiment analysis on the stock market and help people invest. Using Python and Java, we created a twitter scraper then used NLTK & Sci-kit learn to make decisions. Finally, we automated a pipeline to make daily trades on $21,000 of my own money. As a participant in Terp Startup, a summer start-up accelerator, we received $4,000 in funding.

Bethesda, Maryland, Us

Developed novel method of predicting protein-protein interactions using text mining that was on par with current structure methods. Used Java & KNIME with NLP to analyze corpuses of text data and produce results on par with literature.

Bethesda, Maryland, Us

Performed analysis of protein docking programs that evaluate binding affinity between ligands and proteins. Used both machine learning methods and structural analysis methods to find that machine learning methods were superior in accuracy and time.

Taoyuan, Tw

Worked with AKT antibody micro-arrays to discover biomarkers that activated the AKT pathway. The AKT pathway promotes cell proliferation and can be a factor in cancer. Manually prepared the micro-arrays with several types of lysates and analyzed the florescent data.

Bioengineering, Computer Science

Education record