Content Expert


Depression is anticipated to be the second leading cause of disability worldwide by 2020. Moreover, it is a particularly challenging issue to address in under-resourced communities of color, where depression is common and often goes untreated because evidence-based interventions, such as Cognitive-Behavioral Therapy (CBT), are often not available or services may not be trusted in such communities.


Los Angeles is an amazing city, but it's size and traffic make it less livable. Hansel brings you walking tours that make it easy to leave your car at home and explore LA. Come walk with Hansel through the great neighborhoods of Los Angeles!

Campus Mood

Using data from Social Media (example Twitter) we can provide real-time sense of the mood on campus. We will analyze posts for using machine learning and open source tools such as the IBM Watson Tone Analyzer to figure out the emotion of the posts people are creating. We will also data mine to find campus mood of the campus in relationship to recent events. Contact me to join the Team!

DCG Assessment

This will be an app satisfying the requirements mentioned at

Contrarian Solutions

A patient and physician facing interface which would allow for accelerated interaction between doctors and patients in regard to the patients' responses and potential adverse drug effects (ADE's) to prescription anti-depressants.

Chorus: Creating mobile apps together!

Chorus is a participatory mobile health framework and web application to enable community leaders, patients, providers, and researchers to create their own personalized mobile health interventions and share them with each other... no programmers needed! Chorus allows regular, non-techie people to rapidly create, in as little as a few minutes, a broad range of automated text messaging (SMS), interactive voice (IVR), and mobile web applications using a simple visual interface.

something with wearables

Wearable app, not sure what yet but down to brainstorm -data collection (ex. heart rate, blood oxygen, etc.) -big data anaylsis (machine learning, preventative measures) possible applications in: -sports -medical data for hospitals -preventative diagnostics

MindFull - Mobile App for Mental Health

10 million people suffer from depression each year in the U.S. Globally, mental illness will cost $16 trillion by 2020. Most importantly, depression makes people miserable. Finally, if a mood disorder becomes severe enough, it may lead to gun violence and acts of terror. Currently, the gold-standard, one-on-one therapy, is too costly and labor-intensive to keep up with growth in demand. Innovative solutions are needed to improve mental health treatment.

Shockwave: Prevention of Traffic Jams Before They Occur

Have you ever wondered if a single driver suddenly braking can instantly cause a large traffic jam? The answer is yes. The majority of traffic congestion and accidents can be attributed to a phenomena known as shockwave. A car suddenly stopping causes a ripple effect whereby all cars behind it must then abrubtly stop. During rush hour this shockwave will immediately cascade for miles and cause traffic congestion. We will demonstrate the application of our research of novel vehicle to vehicle technology utilizing a simple smartphone app.

Silver Lining: Real-Time Depression Self-Asessessment and Corrective Behavior

Among teenagers, rates of depression and anxiety have increased by 70% in the past 25 years. Of those that do seek treatment, 50% relapse and remain depressed due to false and premature confidence in the treatment. Our solution is to provide real-time personalized and private feedback so individuals can make better informed decisions and induce self-corrective behavior by monitoring sleep habits, exercise patterns, and social interactions in a privacy-preserving fashion.


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