Founder
Deepanjan Datta
HemodynamiQ Wearables Pvt. Ltd.
Bengaluru,KA
Work Preference
Work Type
Full TimeLocation Preference
HybridRemoteOn-SiteLocation:
Bengaluru, KA, INOpen to relocation:
YesImportant To Me
Career advancementCompany CultureHealthcare benefitsFlexible work hoursWork-life balancePersonal development programsStock Options / Equity / Profit SharingTeam Building / Company RetreatsSummary
Deep-tech founder and computational systems architect with 15 years of experience spanning semiconductor device physics, wearable medical devices, non-invasive hemodynamics, and mechanistic modeling. Combines first-principles physics, bioimpedance/ECG hardware, Bayesian state estimation, numerical simulation, and IP strategy to build defensible products. Building HemodynamIQ, a clinician-mediated cardiovascular intelligence platform addressing a $16.7-21.5B US market opportunity and an early $467M India critical-care market.
20
Years of experience
Work History
Co-founder, CTO & Director
5 Years 10 Months- Physics-constrained AI and non-invasive wearable platform for individualized heart failure therapy optimization and longitudinal monitoring.
- Architected CardioMetaIQ, a multi-week cardiovascular-renal-metabolic digital twin integrating coupled ODEs, receptor-level pharmacology, Bayesian/state estimation, individualized parameter inference, uncertainty-aware forecasting, and longitudinal reconciliation.
- Engineered ArteroSense, a dual-site neck-and-chest bioimpedance and ECG wearable; the bench-tested alpha system captured ECG and dual-site BioZ. Step 01 targets lung-fluid trends, stroke volume, cardiac output, heart rate, and HRV; Step 02 adds LVEDP/JVP trend reconstruction.
- Expanded the IP moat to 2 US HemodynamIQ patents plus 1 published US/PCT family; the broader career portfolio includes 5 US patents. Completed a preliminary FTO screen and defined the next filing sequence around design freeze.
- Secured clinical-validation readiness: Fortis Mohali IEC approval, signed clinical agreement, and PI LOI for an up-to-100-patient blinded retrospective study; defined a 30-patient prospective comparator study and FDA Q-Sub pathways for CardioMetaIQ and ArteroSense.
- Built the commercial operating model: pricing, reimbursement logic, unit economics, a first-50-center beachhead, a $228.5M FY2034 base-case revenue model, and a $1.2M pre-seed capital-to-milestone plan.
Chief Innovation Officer
4 Years 3 Months- Led a 4-year innovation program for smartwatch-based total-body-water sensing, benchmarked concepts against FDA-grade reference devices, and converted engineering results into product, investor, and industry-facing materials.
Member of Technical Staff / Principal Engineer
4 Years 4 Months- Created physics-based compact models for next-generation STT-MRAM, linking material and device parameters to circuit-relevant behavior.
- Co-invented a modular STT-MRAM simulation architecture that became US 9,997,225 B2; co-wrote a 2017 IEEE IEDM paper on switching asymmetry in perpendicular MTJs.
- Earned 2 GLOBALFOUNDRIES Engineering Awards for MRAM innovation, in 2015 and 2018.
Senior Research Engineer
11 Months- Delivered a new frequency-response simulation capability within 12 months, enabling device-level analysis of magnetic nanostructures and supporting advanced magnetic-device research.
Graduate Research Assistant
6 Years 2 Months- Produced 7+ publications on spin transport and magnetic tunnel-junction devices using non-equilibrium Green's function (NEGF) methods.
- Contributed to an NSF-sponsored MTJ Lab simulator used by 1,000+ users, translating research-grade device physics into an accessible engineering tool.
Education
PhD - Electrical & Computer Engineering
- Dissertation: Modeling of Spin Transport in MTJ Devices.
- GPA: 3.80/4.00
BTech (Hons) - Electronics Engineering
- Bachelor's degree in Electronics Engineering.
- GPA: 4.30/5.00
Skills
Physics-Constrained AI / Digital Twins: mechanistic priors
coupled ODEs
Bayesian/state estimation
individualized parameter inference
uncertainty quantification
PK/PD
model calibration
sensitivity analysis
and longitudinal reconciliation.
Hardware & Biomedical Systems: bioimpedance
ECG
embedded electronics
sensing architectures
wearable form factors
physiological signal acquisition
denoising
and interpretation.
Deep-Tech Engineering: semiconductor device physics
spintronics
NEGF transport
compact modeling
numerical simulation
system decomposition
and model-to-product translation.
IP & Defensibility: invention disclosure
patent generation
claim strategy
FTO screening
and portfolio development across spintronic devices
compact-model architectures
wearable sensing
and hemodynamic monitoring.
Venture & Commercial Operations: VC due diligence
TAM/SAM/SOM
unit economics
integrated financial modeling
cap-table logic
FDA/CDSCO pathways
clinical-study design
pricing
reimbursement
and GTM planning.
Timeline
Co-founder, CTO & Director
HemodynamiQ Wearables Pvt. Ltd.
12.2020 - Current
Chief Innovation Officer
InBioZ Technology Pvt. Ltd.
06.2019 - 09.2023
Member of Technical Staff / Principal Engineer
GLOBALFOUNDRIES
04.2014 - 08.2018
Senior Research Engineer
HGST (Western Digital)
11.2012 - 10.2013
Graduate Research Assistant
Purdue University
08.2006 - 10.2012
Purdue University
PhD from Electrical & Computer Engineering
IIT (ISM) Dhanbad
BTech (Hons) from Electronics Engineering
Awards & Recognition
- GLOBALFOUNDRIES Engineering Awards for MRAM innovation - 2015 and 2018.
- NSF-sponsored MTJ Lab simulator - 1,000+ users.
Publications
- Wearable / hemodynamic portfolio: 2 US HemodynamIQ patents and 1 published US/PCT family covering wearable health monitoring, bioimpedance-based hemodynamic sensing, and related system architectures.
- US 9,997,225 B2: System and method for modular simulation of spin transfer torque magnetic random-access memory devices - co-inventor; modular physics architecture for STT-MRAM simulation.
- Additional US patents: voltage-controlled spin switches and voltage-tunable magnetic-device architectures.
- Selected research: Nature Nanotechnology; multiple IEEE International Electron Devices Meeting (IEDM) papers; IEEE Transactions on Nanotechnology; Device Research Conference.
- Research themes include quantum/spin transport, MTJ compact modeling, material-device-circuit co-design, switching asymmetry, and simulation frameworks for emerging memory devices.
Personal Information
Title: Founder & CTO | Physics-Constrained AI | Wearable Hemodynamics | Deep-Tech IP
Awards & Recognition
- GLOBALFOUNDRIES Engineering Awards for MRAM innovation - 2015 and 2018.
- NSF-sponsored MTJ Lab simulator - 1,000+ users.
Publications
- Wearable / hemodynamic portfolio: 2 US HemodynamIQ patents and 1 published US/PCT family covering wearable health monitoring, bioimpedance-based hemodynamic sensing, and related system architectures.
- US 9,997,225 B2: System and method for modular simulation of spin transfer torque magnetic random-access memory devices - co-inventor; modular physics architecture for STT-MRAM simulation.
- Additional US patents: voltage-controlled spin switches and voltage-tunable magnetic-device architectures.
- Selected research: Nature Nanotechnology; multiple IEEE International Electron Devices Meeting (IEDM) papers; IEEE Transactions on Nanotechnology; Device Research Conference.
- Research themes include quantum/spin transport, MTJ compact modeling, material-device-circuit co-design, switching asymmetry, and simulation frameworks for emerging memory devices.