From Physics PhD to Data Science: Dr. Arya Dhar on Academia, Industry & Career Transitions
Decoding Phase Transitions - the DPT Podcast || Ep.13 ||
Guest: Dr. Arya Dhar 🇮🇳🇺🇸🇫🇮🇩🇪
In this episode of the Decoding Phase Transitions (DPT) Podcast, I speak with Dr. Arya Dhar — a physicist-turned-data-scientist whose journey beautifully connects curiosity, creativity, and career transitions.
Growing up in Kolkata, India, Arya pursued his undergraduate degree in Physics from St. Xavier’s College, before moving on to complete his Master’s at IIT Delhi, one of India’s top institutes. He later earned his PhD from the Indian Institute of Astrophysics (IIA), Bangalore, where he deepened his engagement with research and scientific inquiry.
In this conversation, we discuss:
✨ How early curiosity and imagination shaped his scientific mindset
✨ Effective self-learning strategies and study techniques
✨ Preparing for competitive entrance exams (Master’s & PhD)
✨The role of mentors and supervisors in shaping a researcher
✨Transitioning from academia to industry
✨The “unfair advantage” academia provides in data science
✨What a data scientist actually does
✨How to stay up-to-date in a rapidly evolving field
This is a conversation about curiosity, resilience, creativity — and taking one step at a time.
🎙️ About The Guest:
Dr. Arya Dhar began his academic journey in Kolkata, India, where he earned his undergraduate degree in Physics from St. Xavier's College, Kolkata. He went on to pursue his Master’s degree at IIT Delhi, one of India’s premier institutions. He later completed his PhD at the Indian Institute of Astrophysics, Bangalore, focusing on condensed matter research and developing strong analytical and computational skills. Following his doctoral work and international research exposure, Arya moved first to Finland and then to Germany for postdoctoral experience. After thoughtful preparation, he transitioned from academia into industry, where he now works in data science, applying his physics-based problem-solving mindset, quantitative analysis, and computational expertise to real-world challenges using AI tools.
LinkedIn account: https://www.linkedin.com/in/arya-dhar/ [https://www.linkedin.com/in/arya-dhar/]
Google Scholar: https://scholar.google.com/citations?user=pmp3QTEAAAAJ&hl=en [https://scholar.google.com/citations?user=pmp3QTEAAAAJ&hl=en]
🔗 Resources & Links:
Indian Institute of Technology (IIT), Delhi, India: https://home.iitd.ac.in [https://home.iitd.ac.in]
Indian Institute of Astrophysics (IIA), Bangalore, India: https://www.iiap.res.in [https://www.iiap.res.in]
Pro. B. P. Das: https://www.prl.res.in/~bijaya/BPDas-bio.html [https://www.prl.res.in/~bijaya/BPDas-bio.html]
Prof. Ananda Dasgupta: https://physics.iiserkol.ac.in/fac_hompage.php?did=bjhSTEthQzNVZ1NWeVJ4RHp4b25tLy9MSW00NUcrVllDVEs4NzNWeGdoYz0= [https://physics.iiserkol.ac.in/fac_hompage.php?did=bjhSTEthQzNVZ1NWeVJ4RHp4b25tLy9MSW00NUcrVllDVEs4NzNWeGdoYz0=]
Prof. Albert Gomes: https://www.sxccal.edu/wp-content/uploads/2021/04/RIP-Prof.-Albert-Cardinal-Gomes.pdf [https://www.sxccal.edu/wp-content/uploads/2021/04/RIP-Prof.-Albert-Cardinal-Gomes.pdf]
Heat and Thermodynamics by Zemansky and Dittman: https://www.amazon.de/Heat-Thermodynamics-Intermediate-Mark-Zemansky/dp/0071148167 [https://www.amazon.de/Heat-Thermodynamics-Intermediate-Mark-Zemansky/dp/0071148167]
Science to Data Science course: https://www.s2ds.org [https://www.s2ds.org]
Kanban: https://kanbantool.com/kanban-board-with-ai-assistant [https://kanbantool.com/kanban-board-with-ai-assistant]
Scrum: https://scrum.ai [https://scrum.ai]
Medium: https://medium.com [https://medium.com]
StackOverflow: https://stackoverflow.com/questions [https://stackoverflow.com/questions]
ChatGPT: https://chatgpt.com [https://chatgpt.com]
✨ If this conversation resonates with you, please like, share, and subscribe. Follow the DPT Podcast for more stories that explore the intersections of science, identity, and purpose — and the human stories behind academic journeys.
📌 **Chapters are below, but I recommend watching/listening the full journey for the complete context.
⏱️ Episode Chapters:
00:00 – Welcome and Introduction
02:31 – Early childhood and schooling
06:02 – Finding the first spark in Science
09:09 – Choosing computer science in school
12:19 – Why imagination is important
13:25 – Self-learning strategies and tips
19:04 – Role of parents
20:31 – Why did he choose physics
24:33 – Father encouraged out-of-the-box thinking
26:16 – Learning during undergrad years
36:01 – Thoughts before going to Master’s
39:41 – Preparation for entrance exams for Master’s
47:38 – Master’s days at IIT Delhi
01:04:29 – Career decisions after Master’s project
01:08:34 – Preparation for entrance exams for PhD
01:11:02 – PhD days at IIA, Bangalore
01:17:30 – About the PhD supervisor
01:21:50 – PhD topic and research question
01:29:38 – Exposures during PhD
01:32:07 – Post-PhD career decision
01:37:14 – Semester visit to the US
01:40:01 – Experience in Finland
01:42:04 – Thoughts before transitioning to industry
01:51:16 – The “unfair advantage” from academia
01:55:02 – Major hurdles after transitioning
01:58:01 – Techniques to stay up-to-date
02:03:14 – What does a data scientist actually do?
02:11:50 – Fun trivia
02:17:35 – Advice to his younger self
02:19:03 – Final Thoughts
The DPT Podcast is also available on Apple Podcasts, Spotify, Podchaser, and Amazon Music.
👋 Connect with Sananda Biswas (Host):
YouTube Channel: www.youtube.com/@SanandaBiswasPhD
LinkedIn: https://www.linkedin.com/in/sananda-biswas-PhD/ [https://www.linkedin.com/in/sananda-biswas-PhD/]
Instagram: https://www.instagram.com/sananda.biswas.phd [https://www.instagram.com/sananda.biswas.phd]
#DPTPodcast #PhysicsToDataScience #AcademiaToIndustry #DataScienceCareer #CareerTransition