Daniel Muthukrishna
Research Scientist at Cambridge Centre for International Research
Cambridge, England, United States
Summary
👤
Senior🎓
Top SchoolDaniel Muthukrishna is a research scientist and astrophysicist who applies deep learning and Bayesian modeling to large-scale astrophysical time-series, currently working with the TESS team at MIT. He combines a PhD from Cambridge with dual undergraduate degrees in Electrical & Aerospace Engineering and Physics, bringing a rare mix of hardware, signal-processing and advanced ML expertise. Over a decade he has built widely used open-source tools for classification, modeling and anomaly detection in transient surveys—most notably the DASH supernova spectral classifier—deployed by major collaborations. His background in RF engineering and observatory internships gives him practical instrumentation and data-acquisition insight that informs his algorithm design. He lectures on data-driven astrophysics and maintains active roles across MIT and the Center for Astrophysics, bridging research, software engineering and teaching. Colleagues describe him as a problem-solver who turns complex astronomical datasets into robust, production-ready ML pipelines.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.Sc.) Physics, Bachelor of Science (B.Sc.) Physics at The University of QueenslandDoctor of Philosophy - PhD Astronomy and Astrophysics, Doctor of Philosophy - PhD Astronomy and Astrophysics at University of Cambridge
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (20)
cosmology10
spectra10
astronomy10
classification10
machine-learning10
astrophysics10
deep-learning10
tensorflow10
pypi10
python9
ssa9
deep-neural-networks9
crystallography8
neural-network6
kinematics6
Programming languages (3)
Github contributions (5)
daniel-muthukrishna/topics-python-in-research
Jun 2018 - Jun 2019
Contributions:7 commits, 7 pushes in 1 year
daniel-muthukrishna/astrodash
Jul 2016 - Oct 2021
Deep learning for the automated spectral classification of supernovae
Contributions:2 releases, 359 commits, 1 PR in 5 years 3 months
classificationdeep-learningsupernovaedeep-neural-networkstensorflow
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