Orchisama Das

I am an audio researcher based in the UK. My primary research interests are room acoustics modeling and artificial reverberation. I am currently working on developing machine-learning based artificial reverberation algorithms using delay-networks, with a primary focus on AR applications. I like doing fundamental DSP research, and making the occasional plugin.

I am currently a postdoc in Immersive Audio at King's College London. I transitioned back into academia after working as a a Senior Audio Research Scientist at Sonos, London, where I developed spatial audio algorithms for the Ace headphones. Before that, I was a Research Fellow at the Institute of Sound Recording at University of Surrey, working on the EPSRC funded Scalable Room Acoustics Modeling Project (SCReAM). I received my PhD degree from the Center For Computer Research in Music and Acoustics (CCRMA) at Stanford University in 2021, where my dissertation was on Microphone Cross-talk Cancellation in Ensemble Recordings with Statistical Estimation. I graduated from Jadavpur University, Kolkata, India in 2016 where I attained my Bachelor's degree in Instrumentation and Electronics Engineering.

In 2020, I was a research intern in the Audio team at Meta Reality Labs Research, working on room acoustics for Augmented Reality applications. In 2018, I interned in the Noise, Vibration and Harshness team at Tesla, writing DSP algorithms for vibration analysis of rotors. In 2015, I was a Mitacs Globalink intern at University of Calgary, Canada. As for other pursuits, I play the guitar, mandolin, bass, and like to record and produce music.