Available Sept 2026 Based Toulouse, France Open to Paris · London · Amsterdam · Berlin CV Email LinkedIn
Recruiter Mode · 3-minute scan

Sai Kiran
Kumar Nalla.

Scientific Project Lead building validation tools across PET/CT, 3D printing, simulation, medical devices, and medtech translation.

Email Sai Download CV Full Website
Best-fit roles

Where I fit

A quick map for recruiters: role type, why it fits, and the strongest proof points to check first.

MedTech / Life Sciences StrategyTechnical fluency plus market, IP, and stakeholder translation exposure.Proof: Hepta · TTT · VC programme
Clinical AI / Imaging ProductGround-truth validation mindset for explainable medical-imaging AI.Proof: 3DynaPET · CASSOULET
Imaging Research ScientistPET/CT, phantoms, simulation, quantitative validation, publications.Proof: publications · pipeline
Healthcare Venture / AnalystDeep-tech curiosity, medtech exposure, scientific communication.Proof: toolkit · experience
30-second pitch

Research depth, builder speed, translation instinct.

Sai works across PET/CT validation, simulation, 3D-printed phantoms, and medtech translation. He can frame the scientific problem, build the method, validate the output, and communicate the result to technical and non-technical audiences.

3+ yearsR&D experience

Medical imaging, modelling, device workflows, and translational research.

6 outputsResearch proof

Published articles, under-review work, preprint, and conference poster.

4+ institutionsCross-context work

IUCT Oncopole, École Polytechnique, LadHyX, Mahindra, hospital/startup work.

Sept 2026Availability

Defense planned for September 2026; available after defense.

Portfolio evidence

Case Studies

Skimmable by default. Each card shows the decision question first; methods stay inside “expand details.”

3DynaPET

QuestionHow can trustworthy ground-truth data validate imaging systems and future AI models?
Expand methods + output
ContextAI in medical imaging needs explainable benchmarks, not only black-box scores.
Methods3D printing, dynamic imaging, MATLAB analysis, quantitative validation.
OutputAI-ready physical validation artifact for comparing algorithms against known truth.
#explainable-AI#ground-truth#clinical-validation

CASSOULET / MuPET

QuestionHow can synthetic imaging data be generated with known truth for AI testing?
Expand methods + output
ContextClinical datasets can be limited, noisy, and weak on lesion-level truth.
MethodsMonte Carlo logic, MATLAB/Python workflows, synthetic data generation.
OutputFramework direction for explainable AI benchmarking with interpretable truth.
#synthetic-data#model-validation#PET

Hepta Visualization Tool

QuestionHow can predictive cancer-treatment models become understandable to clinicians, investors, and product teams?
Expand methods + output
ContextModel value depends on clear interpretation.
ToolsMedical imaging, model outputs, visualization, presentation design.
OutputStakeholder-facing product artifact for startup R&D.
#stakeholder-communication#medtech#visualization
MuPETMass transport + PET synthetic data
TEVAR SimulationIn-silico haemodynamics
AUV MECAutonomous underwater vehicle
ManittyStartup exposure · polymer electrodes
How I work

Pipeline

01

Need

Clinical, technical, or translational gap.

02

Model

Physical, computational, or analytical model.

03

Prototype

Code, CAD, simulation, visualization, or fabrication.

04

Validate

Data, metrics, experiments, and stakeholder feedback.

05

Translate

Papers, posters, tools, strategy, or product artifacts.

Research outputs

Proof

Clickable publication cards. The numbers stay at the top so the section can be scanned quickly.

2Published
2Under review
1Preprint
1Conference poster
2025 · Published

Enhancing PET/CT Target Assessment with Porous 3D Printed Grids

Physical and Engineering Sciences in Medicine

Open paper →
2025 · Under Review

From Digital File to Transferable Phantom

Dual-centre PET quantification phantom study

Open preprint →
2025 · Under Review

Quantitative Reality

Physical ground truth for heterogeneity in molecular imaging

Open preprint →
2025 · Preprint

MuPET

Mass transport physics and synthetic PET data generation

Open preprint →
2025 · Conference

3D Printed PET/CT Phantom with Mixed Target Uptake

EANM Congress · e-Poster EP-0949

Open page →
2022 · Published

Effects of Gas Embolism on Pulsatile Flow

Journal of Biomechanical Engineering · ASME

Open paper →
Decision shortcuts

Proof Pack

Everything a recruiter usually needs, in one place.Open the strongest evidence directly: case studies, publications, CV, GitHub, and contact. The main website remains available for the personal/creative side.
▦Case studieswork evidence書Publicationsresearch proof履CVdownload⌘GitHubcode/work✉Contactemail Sai
Tools mapped to work

Toolkit

Kept visual and logo-based, but grouped by actual work context instead of a long skills paragraph.

Computing & Analysis

Research coding, modelling, statistics, and reproducible workflows.

Python
Pythonautomation
MATLAB
MATLABsimulation
Git
Gitversioning
JASP
JASPstatistics
LaTeX
LaTeXwriting
X
Exceltables

Imaging, Simulation & Fabrication

Medical image workflows, PET thinking, CAD, simulation, and prototype preparation.

3D Slicer
3D Slicermedical imaging
IJ
ImageJanalysis
Fiji
Fijiprocessing
COMSOL
COMSOLmultiphysics
Autodesk
Fusion 360CAD
Cura
Cura3D print

Design, Documents & Project Systems

Scientific storytelling, pitch visuals, documentation, collaboration, and project organization.

W
Worddocs
P
PowerPointslides
X
Exceltracking
T
Teamscollaboration
O
Officesuite
Notion
Notionsystems
GIMP
GIMPgraphics
Canva
Canvavisuals
Miro
Miromapping
Professional journey

Experience

Top roles first. Extra history is compacted into small cards to avoid a resume-wall effect.

I

Scientific Project Lead

IUCT Oncopole
H

Researcher & Consultant

Hepta Medical
S

Preclinical Intern

Hospital Saint Joseph
X

Research Intern

LadHyX · École Polytechnique

Scientific Project Lead

IUCT Oncopole · Université de Toulouse
Oct 2023 — Present · Research contract
PET/CT validation and phantom workflows.
Dynamic PET data and validation studies.
Cross-functional academic/industry collaboration.
From code and prototypes to papers.
Other signals
2023Technology Transfer Intern

Toulouse Tech Transfer · IP + valorisation.

2019 — 2020AUV MEC Leadership

Deputy team lead + mechanical subdivision.

2023+Strategy / VC exposure

McKinsey Forward + Newtons Foundation VC.

Academic foundation

Education

2023 — 2026

PhD Medical Imaging & Radiophysics

Université de Toulouse · IUCT Oncopole

Defense expected September 2026
2021 — 2023

MSc Biomechanical & Biomedical Engineering

École Polytechnique · IP Paris

GPA 3.7/4.0 · Full scholarship
2016 — 2020

BTech Mechanical Engineering

Mahindra University

GPA 8.5/10 · Excellence scholarship
🇬🇧
EnglishFluent
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HindiFluent
🇮🇳
TeluguNative
🇫🇷
FrenchB2

Let’s talk.

Open to roles in medical imaging, medical devices, medtech R&D, healthcare ventures, life-sciences strategy, translational research, freelance projects, and deep-tech from September 2026.

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