About Me


I am a PhD student in the Rice Computational Imaging Group working under Dr. Ashok Veeraraghavan. My research interests are in remote photoplethysmography, computational imaging, and machine learning. My research goal is to build systems for robust camera-based vital signs monitoring for realistic, unconstrained applications. I work with hardware and software to jointly design optical systems and optimization-based algorithms to recover weak blood flow signals recorded by a camera from small color variations in the skin, corrupted by light variations and motion.

I interned at Microsoft Research with Daniel McDuff in 2019 and Mitsubishi Electric Research Lab with Tim Marks and Hassan Mansour in 2018 and 2017. I am a recipient of the Ken Kennedy Institute for Information Technology Schlumberger Graduate Fellowship and the Texas Instruments Fellowship. Before coming to Rice, I graduated from St. Mary’s University in San Antonio, TX with a B.S. in Physics (summa cum laude)  in 2015. At St. Mary’s I have worked on computational modeling of molecules and nanoparticles.

Email: emn [at] rice [dot] edu Office: Abercrombie Lab A127  LinkedIn resume



Overcoming video compression for camera-based vital signs




Imaging photoplethysmography in NIR for driver monitoring

[dataset download] [publication pdf] [poster]



PPGSecure: face anti-spoofing with camera-based vital signs

[publication pdf] [poster]



Eye tracking for measuring engagement




Assessment of screen usage in the home