I am a fifth-year graduate student in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. My interests include audio processing, human and machine audition, statistical signal processing, machine learning, and information theory. I am advised by Professor Andrew Singer in the Coordinated Science Laboratory and supported by the Systems on Nanoscale Information fabriCs (SONIC) Center and the NSF Graduate Research Fellowship Program (GRFP). My current research is on multichannel speech signal processing, especially for listening devices such as hearing aids. I have also also worked on information processing systems built with unreliable emerging device technologies.
I grew up in the Chicago area and received a BSE degree in Electrical Engineering from Princeton University in 2012. As an undergraduate I studied optoelectronics and photonics, particularly photonic communication and signal processing. I also worked on robotics with Princeton Autonomous Vehicle Engineering (PAVE). At Illinois I participate in advocacy and mentoring activities with Out in STEM (oSTEM) and several engineering professional organizations. In my spare time I enjoy tinkering with circuits, automation, electronic lighting, and audio systems.
I am not teaching any courses this semester.
|Fall 2014||ECE 310: Digital Signal Processing|
|Spring 2013||ECE 445: Senior Design|
|Fall 2012||ECE 110: Introduction to Electrical and Computer Engineering|
|Spring 2012||ELE 302: System Design and Analysis|
|Spring 2011||ELE 302: System Design and Analysis|
I am currently working with Professor Andrew Singer in the Coordinated Science Laboratory at the University of Illinois. I am working on new signal processing methods to enhance human and machine hearing in noisy environments. I am adapting modern signal processing and machine learning methods, such as underdetermined source separation and statistical beamforming, to real-time embedded listening platforms such as hearing aids. Many of these methods can also be applied to noise reduction in voice communication and speech recognition.
My M.S. thesis was on mixed-signal interfaces using unreliable components. I used tools from statistical estimation theory to find fundamental limits on the performance of such systems and provide new analytical tools and metrics for mixed-signal circuit design.
I am supported by the Systems on Nanoscale Information fabriCs (SONIC) Center. SONIC uses information processing principles to design computing systems using emerging nanoscale devices. I am also supported by the National Science Foundation Graduate Research Fellowship Program.
I worked with MIRTHE to design a low-coherence mid-infrared light source for trace gas sensing.
I worked with the Princeton Lightwave Communications Lab to characterize the performance of a single-mode to multimode coupler, which can combine many signals of the same wavelength without distortion from coherent beating.
For my senior thesis, I worked on a wideband adaptive beamforming array that uses all-optical tapped delay line filters. I developed a model, performed simulations, and wrote control software for the photonic system.
In 2008 I built a Christmas light control unit for my house. It was later installed at the Princeton Quadrangle Club and sychronized with dance music. Unfortunately, one of the chips melted before a video could be produced, so you'll have to take my word for it.
I led a team to build a pair of game tables at the Princeton Quadrangle Club. One is a bottlecap table containing several thousand bottlecaps. The other is an electronic table with music-sensing lights.