5+
Years in clinical speech analytics
Tanuka Bhattacharjee
Research Scientist · PhD Scholar
Speech · Machine Learning · Physiological Signals
I'm a research scientist at the SPIRE Lab, IISc Bangalore, building interpretable models that quantify dysarthria severity, detect speech biomarkers for ALS, and combine acoustic cues with physiological signals.
Snapshot
5+
Years in clinical speech analytics
4
Filed patents on physiological intelligence
9.4/10
Doctoral CGPA at IISc Bangalore
Grants
IEEE SPS · ISCA · PMRF · Qualcomm Innovation Fellowship finalist
Expertise
Academic journey
2019 – Present
Electrical Engineering · CGPA 9.4/10 · Researching explainable speech biomarkers for ALS.
2015 – 2017
Electronics & Telecommunication Engineering (Computer Engineering specialization) · CGPA 10/10.
2011 – 2015
Electronics & Communication Engineering, MAKAUT · DGPA 9.57/10 · Gold Medalist.
Industry & lab
2019 – Present · Bengaluru
Designing interpretable ML architectures fusing acoustic and physiological cues for ALS management, leading multi-institution data collection, and mentoring junior researchers in speech analytics pipelines.
2017 – 2019 · Kolkata
Worked on embedded systems and robotics initiatives, building intelligent sensing stacks and algorithmic prototypes for autonomous platforms.
Intellectual property
Varsha Sharma, Tanuka Bhattacharjee et al. U.S. Patent 11,817,217 (2023). View patent
Tanuka Bhattacharjee et al. U.S. Patent 11,419,542 (2022). View patent
Tanuka Bhattacharjee et al. U.S. Patent 11,045,136 (2021). View patent
Deepan Das, Tanuka Bhattacharjee et al. U.S. Patent 10,716,501 (2020). View patent
Peer-reviewed
Complete list available on the downloadable resume and Google Scholar.
Honors
Connect
I welcome conversations on clinical speech analytics, collaborations on ALS biomarker discovery, and mentorship inquiries.