Shivam Gupta

Founding Member of Technical Staff (CFD) - Building Physics AI

Nexus Healthcare is an early-stage startup pioneering human digital twin models, building the world’s largest patient population to advance personalized care, pre-surgical planning, and regulatory-aligned in-silico clinical trials (ISCTs). We operate at the intersection of computational modeling, medical imaging, and AI-enabled healthcare innovation to accelerate medtech and biopharma development. I contribute to developing and integrating computationally driven human digital twins for pre-surgical planning and medical device development. My work combines AI-driven medical image segmentation, multi-physics simulations (CFD & FSI), and computational biomechanics to generate validated patient-specific and virtual patient cohort models. I collaborate with clinicians, engineers, and regulatory experts to deliver high-fidelity digital healthcare tools aligned with FDA ISCT and ASME V&V 40 standards.

- Owned physics validation of a next-gen RANS-based CFD software by performing simulations across aerospace, life sciences, automotive, HVAC, electronic cooling, heat exchanger, and turbomachinery industries to certify accuracy and robustness. - Contributed to product definition by translating customer insights into detailed PRDs for new capabilities such as automated mesh adaptation, and collaborated with cross-functional teams to support the development cycle from concept to production. - Evaluated the performance of new CFD technologies by quantifying their impact on KPIs and suggesting future improvements. - Ran regression suites across geometry prep, meshing, solver, and post processing with QA to keep continuous integration green.

- Analyzed billions of payment data to extract actionable insights, guiding data-driven decisions for product development. - Implemented Machine Learning techniques to construct an analytical model aimed at detecting currency conversion discrepancies, effectively preventing money leakage of ~$20 million for international payments. - Performed big data analysis to identify pain points in the customer journey, resulting in a 1.5% uptick in payment SR.

• Proposed a novel membrane configuration consisted a membrane heat exchanger with integrating cooling coils which simultaneously cools & dehumidifies the airstream with the help of a vapor-selective membrane. • 2D CFD model was developed using Ansys Fluent to study the dehumidification performance and concentration polarization effects of the membrane heat exchangers. • CFD model was further developed to obtain various contour plots for analyzing membrane configuration. • This work concluded the tradeoffs with different design parameters of membrane heat exchanger which can be used in further studies to build effective membrane-based HVAC systems depending on the necessities.

• Performed extensive CFD simulations using SimVascular framework to understand the hemodynamics aspect of three models: Coronary arteries, Thoracic aorta and Left atrium. • CFD results of healthy & diseased cases were compared for each model, while a Multiphysics COMSOL model is developed to simulate the oxygen concentration in coronary arteries. • Novel MATLAB scripts were developed & integrated with each CFD model to tune the various parameters. • This in-detail CFD analysis will aid medical professionals to identify vulnerable location in the diseased model.

- Studied and analyzed the efficiency of microfluidics mixing in a Split & Recombine mixture using CFD via open-source CFD software known as OpenFOAM. - Performed a multiphase simulation to model the physics. Furthermore, repeating the simulation for different meshes to validate the results with the Grid Independence Test. - MATLAB files are scripted to automatically generate the OpenFOAM case files for domain creation and meshing. - A novel and detailed comparison report of the final results from OpenFOAM with various other commercial CFD software (CFD-ACE+, Fluent, Flow-3D, CFX) was made to showcase the accuracy of performed work. - The comparison was conducted via MATLAB script files and various Image Processing tools.

Successfully completed all the tasks given by the head of Ogv department, the extensive and most important department in AIESEC. - Developed Leadership qualities. - build up Management skills. - enrich personal development.

- Selling exchange products. - Handling experiences of exchange participants

Specialization: Computational Fluid Dynamics and Machine Learning. Thesis title: Machine learning for medical image analysis aids in the detection of cardiovascular disease • Performed 3D segmentation of coronary arteries from CT/MRI scans by using nnU-Net, a deep machine learning model. • Utilized high-performance computing clusters for training, achieving a dice score of 0.85 across 40+ patient datasets. • Integrating SeqSeg with nnU-Net to predict local vessel segments, ensuring connectivity and generalization to blood vessels beyond the training data, enhancing segmentation quality in medical imaging applications.

Thesis Title: Image-based CFD modeling of retinal vasculatures • Scripted a novel vascular segmentation algorithm to extract retinal vessels from patient-specific fundus images. • Performed multi-physics CFD simulations in COMSOL to simulate retinal blood flow, integrating a dynamic viscosity model with the species-transport equation to address shear thinning and oxygen transport effects in the small retinal arteries. • Evaluated the results for different pathological conditions, establishing the potential of CFD in detecting retinal diseases. • Orchestrated end-to-end research experience by publishing the work at an international conference as a first author.

In this course, I am working on MATLAB and OpenFOAM. MATLAB is an interactive programming tool for scientific computing. OpenFOAM is a prominent open-source software for Computational Fluid Dynamics. This course falls under the CFD domain. During this course, I am going to learn the coding behind the building of 2D CFD solvers. The key application areas of CFD include Aerospace, Automotive, Construction, Power and Energy, Turbo-machinery, and Biomedical.