Description

Computational scientist with over a decade of experience in machine learning, computer vision, and statistical data analysis, with a strong focus on applications in neuroscience and biomedical research. Skilled in developing and deploying image analysis pipelines, from classical methods to deep learning, with a background in physics and visual neuroscience. Experienced in cross-functional collaboration, rapid adaptation to new challenges, and clear communication of complex ideas to diverse stakeholders.

Languages

English
Fluent
Hindi
Native or bilingual
Bangla
Fluent
Dutch
Basic

Workplace preferences

Can work on-site

Leuven (up to 50km)

Ovizio Imaging Systems
Senior Data Scientist
BIOTECH
March 2025 - November 2025 (8 months)
Brussels, Belgium
- Developed and validated machine/deep learning algorithms for microscopy image processing in diagnostic applications within a medical device development context.

- Architected and implemented deep learning algorithms for the analysis and feature extraction of high-resolution microscopy images for cell-based diagnostics.

- Collaborated with R&D, clinical, and quality assurance teams to translate user requirements into robust models, ensuring safety and effectiveness for diagnostic workflows.

- Optimized model performance for specialized hardware platforms while ensuring diagnostic accuracy.
Deep Learning Computer Vision Machine learning Data science Python
KU Leuven
Postdoctoral Researcher
RESEARCH
September 2020 - August 2024 (3 years and 11 months)
Leuven, Belgium
- Contributed machine/deep learning and data science expertise to cross-functional international teams, analyzing neural computation patterns from multi-modal neural and imaging data.

- Developed interpretable machine learning models using explainability techniques to reveal neural encoding mechanisms in visual processing, advancing computational neuroscience methodology.

- Co-led interdisciplinary projects in computational neuroscience, a process resulting in 7 peer-reviewed publications and 6 presentations at international conferences.
Deep Learning Data science Machine learning Python Computer Vision
ATR Cognitive Labs
Research Scientist
RESEARCH
July 2017 - March 2020 (2 years and 8 months)
Kyoto, Japan
- Led research applying deep convolutional neural networks as computational models for understanding primate visual processing, bridging artificial and biological intelligence research.

- Conducted systematic validation studies comparing AI model representations with neural recording data, contributing to the refinement of computational approaches in neuroscience.

- Presented work at 5 international conferences and authored a peer-reviewed journal publication.
Deep Learning Computer Vision Machine learning Python Data science