Postdoc

National Institutes of Health

debadatta.dash@utexas.edu

I am a Postdoc (Visiting Fellow) at the National Institutes of Health (NIH) in the National Institute of Neurological Disorders and Stroke (NINDS) working in Human Cortical Physiology Section (HCPS) with Dr. Leonardo G. Cohen. Currently, I am working on motor memory consolidation and neural replay using Magnetoencephalography (MEG) and Machine Learning.

I completed my Ph.D. in November 2021 at The University of Texas at Austin in Electrical and Computer Engineering where I worked as a Graduate Research Assistant at Speech Disorder and Technology Lab (SDTL) in the Department of Neurology, Dell Medical School of UT Austin, with Dr. Jun Wang. For my Ph.D., I worked in the area of Speech-Neuroscience, on neural speech decoding with MEG.

My research curiosity lies with the brain, neural disorders, bio-signals, and machine learning. The human brain is the biggest puzzle mankind has ever encountered. My dream is to decode this puzzle. My ultimate goal is to use my research for the benefit of mankind and contribute to healthcare.


What's New?

2022

  • Started Working at NIH as a Postdoc

2021

2020

Resume:

Resume_051821.pdf

PROJECTS

MEG

  • Postdoc:

    1. Memory Consolidation

    2. Neural Replay

  • Ph.D.:

    1. Neural Speech Decoding

    2. ALS

    3. OPM-MEG

fMRI

  • Resting State Functional Connectivity

  • ADHD

EEG

  • Motor Imagery BCI

Speech

Automatic Speech Recognition

Conference Presentations

EMBC'21 (Virtual)

NER'21 (Virtual)

UT CARE'21 (Virtual)

BCI'21 (Virtual)

EUSIPCO'20 (Virtual)

Interspeech'20 (Virtual)

WCCI'20 (Virtual)

MEG TX Symposium'20

IEEE EMBC'19

Interspeech'19

Interspeech'19

Graz BCI'19

IEEE NER'19

IEEE ISBI'18

Brain Informatics'18

MLSLP'18

IEEE GlobalSIP'18

BMES'18

Interspeech'18

IEEE ISBI'18

Research Gallery

1. Myself in a MEG-TMS study


2. Myself in a WAVE study