Dr. Stephanie Tan

My research focuses on improving team interaction and collaboration in high-stakes negotation settings by facilitating:

• automatic understanding of negotiation perspectives
• team dynamics using text, audio, visual, and alternative symbol-based communication modalities

My work involved developing automated scheduling recommendations for warehouse operations and optimizing middle-mile delivery network topology connections.

My research focused on the following research topics:

• automatic estimation of human head and/or body orientations using multimodal data
• automatic detection of conversation groups
• large-scale human behavior data collection and annotation

Teaching: I was teaching assistants and project supervisors for courses: Multimedia analysis, Social signal processing, Deep learning. I have supervised various master and bachelor thesis and bachelor seminar courses.

My work involved developing data-driven solutions for reducing concessions in Amazon operations. A machine learning model (decision-tree based) was designed to generate interpretable and actionable business insights, and the supporting AWS cloud infrastructure was set up to scale to different business owners and countries for up-to-date recommendations.

My work resulted in improved design of microfluidic chips for a new generation of ddPCR (digital droplet Polymerase Chain Reaction), reducing cracks by 50% and leak rate by 75%

My first experience at JPL involved extracting and analyzing biochemical compounds from deep sea organisms. I presented my work at Astrobiology Graduate Conference 2012. For my second experience, I designed a model and modifications to a supercritical extraction system resulting in increased flow rate range by 30% and decreased footprint by 20%.

My work involved developing point of care diagnostics devices for Tuberculosis.