Partho Sen profile picture
Partho
Sen
Docent, Biochemistry

Areas of expertise

Machine Learning
Biomarker Discovery
R (Programming Language)
Python (Programming Language)
MATLAB
Snakemake
High Performance Computing (HPC)
Computational Biology
Bioinformatics
Mathematical Modeling,
Statistical Modeling
Statistical Data Analysis
Metabolomics
Single Cell Sequencing
Functional Genomics
Transcriptomics
Metagenomics
NGS
Proteomics
Human Genetics.

Biography

Hi, I'M Partho Sen, and I'M a data scientist with 12 years of experience in computational biology and bioinformatics. I have expertise in analyzing complex datasets to understand how biochemical processes work in humans and microbes. My focus is on precision and systems medicine, where I research various health conditions like Diabetes, Non-Alcoholic Fatty Liver Disease (NAFLD), Obesity, and Cardiovascular disorders. My objective is to discover molecular markers that can help us comprehend the disease mechanism and underlying pathways. By understanding these mechanisms, we can create novel drugs or inhibitors and design new therapeutic strategies.

In addition to my mathematical modelling and data science skills, I am a proficient programmer with vast experience in machine learning, systems biology, and biomarker discovery in healthcare. I'm passionate about utilizing large datasets to create innovative tools and methods that can address modern challenges in healthcare and cell/tissue biology.

With my expertise, I'm confident we can make significant breakthroughs in understanding and treating diseases that have yet to be solved.Hi, I'M Partho Sen, and I'M a data scientist with 12 years of experience in computational biology and bioinformatics. I have expertise in analyzing complex datasets to understand how biochemical processes work in humans and microbes. My focus is on precision and systems medicine, where I research various health conditions like Diabetes, Non-Alcoholic Fatty Liver Disease (NAFLD), Obesity, and Cardiovascular disorders. My objective is to discover molecular markers that can help us comprehend the disease mechanism and underlying pathways. By understanding these mechanisms, we can create novel drugs or inhibitors and design new therapeutic strategies. In addition to my mathematical modelling and data science skills, I am a proficient programmer with vast experience in machine learning, systems biology, and biomarker discovery in healthcare. I'm passionate about utilizing large datasets to create innovative tools and methods that can address modern challenges in healthcare and cell/tissue biology. With my expertise, I'm confident we can make significant breakthroughs in understanding and treating diseases that have yet to be solved.

Publications

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Prenatal exposure to perfluoroalkyl substances modulates neonatal serum phospholipids, increasing risk of type 1 diabetes (2020)

Environment International
Aidan McGlinchey, Tim Sinioja, Santosh Lamichhane, Partho Sen, Johanna Bodin, Heli Siljander, Alex M Dickens, Dawei Geng, Cecilia Carlsson, Daniel Duberg, Jorma Ilonen, Suvi M Virtanen, Hubert Dirven, Hanne F Bentsen, Karin Zimmer, Unni C Nygaard, Matej Oresic, Mikael Knip, Tuulia Hyotylainen
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))