Summary
Saptashwa Bhattacharyya is a researcher with eight years of experience applying deep learning and numerical astrophysics to hunt for dark matter signatures in gamma-ray and cosmic-ray data. He earned a PhD in high-energy astrophysics from Waseda University, developed a novel method to distinguish dark matter decay from pulsar signals in CALET electron spectra, and continued his work at RIKEN on very-high-energy proton propagation using GALPROP. Now based in Slovenia at the University of Nova Gorica, he builds ML tools for astrophysical images and time series, combining expertise in Python, TensorFlow/Keras, and astrophysics simulation codes. His background spans particle-physics theory (MSc on relic abundance calculations) to practical AI—an uncommon mix that lets him bridge model-building, simulation, and modern deep-learning pipelines.
8 years of coding experience
1 year of employment as a software developer
Master of Science (M.Sc.) Physics (Sp. Particle Physics), Master of Science (M.Sc.) Physics (Sp. Particle Physics) at Indian Institute of Technology Hyderabad
Doctor of Philosophy - PhD High Energy Astrophysics, Doctor of Philosophy - PhD High Energy Astrophysics at Waseda University
higher secondary science, higher secondary science at Bidhannagar Govt. high school
English, Bengali, Hindi, Japanese