Summary
Vikram Radhakrishnan is a lecturer and researcher with a decade of experience at the intersection of astronomy, engineering, and machine learning, currently based in Zoetermeer, Netherlands. He combines hands-on instrument and signal-processing experience from his MSc and internships with practical IC design and verification work at Broadcom, bringing a rare hardware-to-astronomy perspective to teaching and research. As a PhD student at Leiden and an active community organizer (AI Lab Den Haag, Space Explorers NL, City.ai) he regularly translates complex technical topics into workshops and tutorials for audiences from high-school students to industry professionals. He also serves as a deeplearning.ai event ambassador, reflecting a deep commitment to lifelong learning and MOOC-driven upskilling. Vikram’s work has bridged LOFAR radio-imaging techniques and adaptive optics design for space telescopes, showing both observational and systems-oriented breadth that informs his multidisciplinary teaching and outreach.
10 years of coding experience
2 years of employment as a software developer
Master’s Degree, Astronomy, 8.05, Cum Laude, Master’s Degree, Astronomy, 8.05, Cum Laude at Leiden University
93.5%, 93.5% at Clarence High School
Bachelor of Engineering (BE), Electrical and Electronics Engineering, 8.85, Bachelor of Engineering (BE), Electrical and Electronics Engineering, 8.85 at PESIT
English, Dutch