About Me
I’m Mahima Ghosh, a Research Software Engineer working at the intersection of AI, health policy modelling, and computational biosignals. I currently work at Imperial College London, where I design software and models that help decision‑makers understand how health policy changes play out in real populations.
I began with a B.Tech in Computer Science & Technology from Presidency University, Bangalore, where I focused on software engineering, signal processing, and embedded systems. I worked as a Research Engineer at NCUE in Taiwan which pushed my work closer to healthcare: I developed an Embedded Wavelet-NN for Real-time ECG Analysis on resource‑constrained hardware using Arduino Nano 33 BLE Sense (IoT), exploring on‑body detection of cardiac events and low‑latency signal classification. That project anchored my long‑term interest in translating algorithms into tools that matter clinically.
To deepen the biological and human side of intelligent systems, I completed an MSc in Human & Biological Robotics at Imperial College London, concentrating on computational neuroscience, ML for biosignals, and scalable data workflows. Subsequently I presented my master's thesis on Image based Spike Sorting which combines image processing techniques to traditional signal sorting methods in neuroscience. Alongside showing a comparative study between Spike Sorting that is Signal based, Image based and Pretrained-Image based Methodologies. You can read my Thesis here.
At Imperial’s Centre for Health Economics & Policy Innovation (CHEPI), I now build large‑scale, policy‑facing health simulation tools. I lead development of HealthGPS, a microsimulation platform that represents country‑specific populations and evaluates the long‑term health and economic impact of public‑health and regulatory interventions.
In parallel, I’m building PulsePredict, a predictive analytics platform that fuses behavioral and physiological signals to forecast neurocognitive and energy state fluctuations and link them to downstream health and productivity outcomes.
I care about building intelligent systems that improve real human outcomes — especially in healthcare, policy, and global access.