Data Scientist

Boostrs

Develope Boostrs' NLP algorithms and implemented it in Boostrs's products.

Postdoctoral research

MIRCen, CEA Fontenay-aux-Roses

Accelerate Monte-Carlo (MC) simulation of restricted diffusion in complex structures by using Octree structure & binary marker.

Developed an efficient GPU-based MC simulation of diffusion NMR.

Reduced MC simulation time from weeks (in CAMINO) to minutes or hours.

Open the possibility to: simulate the DW-NMR signal in complex cellular structures (such as astrocyte) within reasonable time, better understand in-tracellular diffusion, validate diffusion models in a complex structure.

Ph.D. Candidate

NeuroSpin, CEA Saclay

MRI experiments, Compressed Sensing in MRI

Proposed a DLA-based compressed sensing (CS) undersampling strategy.

Implemented DLA-based CS for quantitative T1-weighted (T1w) and T2- weighted (T2w) imaging.

Implemented CS-RARE (T2w) and CS-FLASH (T1w) sequences (in Bruker system, ParaVision 5 & 6) and used to image neuronal tissue.

CS sequences help to reduced up to 50% acquisition time while preserves the SNR, resolution and contrast.

Diffusion MRI: experiments & simulations

Acquired and analyzed the time-dependent dMRI data in the Aplysia neuronal network for 3 cell types: large cell neurons, bag cell neurons, and nerves.

Retrieved microstructural information of the neuronal tissue by comparing diffusion MRI data and diffusion MRI simulations.

Master 2 Internship

CMAP, Ecole Polytechnique

Parallelize implementation of finite volume code for solving Bloch-Torrey equation using OpenMP.

Applying Bezier curves to simulate axons neuronal tissue (cylinders).

Teaching Assistant

Faculty of Math & CS, HCM University of Science

Reinforce lessons presented by teachers by reviewing material with students

Help teachers with grading

Instruct students in figure out the way to solving mathematics problems in Analysis 1, 2; functional analysis...