I am a sixth-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.
|Fall 2017||TE 401: Developing Breakthrough Projects
|Summer 2017||ECE 310: Digital Signal Processing
Primary instuctor - List of teachers rated excellent by students
|Fall 2014||ECE 310: Digital Signal Processing
Homework & exam TA
|Spring 2013||ECE 445: Senior Design
Lab TA - List of teachers rated excellent by students
|Fall 2012||ECE 110: Introduction to Electrical and Computer Engineering
Lab TA - List of teachers rated excellent by students
|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.
Array processing is often used for machine listening applications. Human listening applications have different constraints, such as spatial cue preservation and nonlinear processing.
WASPAA 2017a - WASPAA 2017b
Source separation and machine listening algorithms typically have an order of magnitude larger delay than human listeners can tolerate. I am exploring delay-performance tradeoffs and delay-constrained algorithms for real-time audio enhancement.
High-speed analog-to-digital converters need large, power-hungry transistors. We show how to use statistical methods to digitize signals using unreliable circuits built with smaller, lower-power transistors.
Coarsely quantized analog-to-digital converters require less power and area than high-resolution analog-to-digital converters. We show how to use coarse quantization in array processing applications.
WSA 2016 - CAMSAP 2017
Large microphone arrays can better localize and separate signals coming from different directions. We are building large wearable microphone arrays for listening enhancement applications.
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.
I worked with MIRTHE to design a low-coherence mid-infrared light source for trace gas sensing.
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.
Curacao, December 2017
Pacific Grove, CA, October 2017
New York City, October 2017
New Paltz, NY, October 2017
Champaign, IL, October 2017
Austin, TX, September 2017
Pacific Grove, PA, November 2016
Champaign, IL, October 2016
Vietri Sul Mare, Italy, September 2016
Austin, TX, September 2016
Austin, TX, June 2016
Munich, Germany, March 2016
Pacific Grove, CA, November 2015
Champaign, IL, October 2015/em>
Austin, TX, September 2015
Belfast, Northern Ireland, October 2014
Urbana, IL, October 2014
Austin, TX, September 2014
A Coruna, Spain, June 2016
New York City, October 2013
Urbana, IL, October 2013
New York City, February 2011
Philadelphia, PA, February 2010
New York City, August 2009