I am an incoming PhD student at Rice University, under the supervision of Professor Richard Baraniuk. I am interested in understanding the inner-workings of machine learning models with a focus on geometrical perspectives, such as the spline theory of deep learning; with the intention of improving the reliability and robustness of machine learning models.
Currently, I am exploring the tropical geometry of neural networks, with Dr Anthea Monod at Imperial College London. Tropical geometry provides a formal representation of neural networks which can be leveraged to rigorously explore the geometry of neural networks.
Broadly my research interests include understanding the geometry of machine learning models to help understand their properties, and lead to informed techniques for improving their reliability and deployment.
In my spare time I enjoy pondering about philosophy and the theory of mind. Moreover, I participate in sports including running, cycling and swimming. Oh, and I also like to listen to podcasts...
Podcast Statistics
Gemini's summary of my interests from my most recent podcasts.
Overarching Themes:
Your podcast selections reveal a strong interest in exploring the big questions facing humanity. This includes:
- Technological Disruption and the Future: A prominent theme is the exploration of cutting-edge technologies, particularly Artificial Intelligence. This suggests an interest in how AI will reshape society, ethics, and the future of work and human capability. You're not just interested in the tech itself, but also its societal impact and implications.
- Societal and Political Dynamics: There's a clear focus on the current political landscape and its drivers, including a willingness to engage with diverse and sometimes opposing viewpoints. You seem interested in understanding the forces shaping modern societies.
- Fundamental Questions about Existence: Your podcast choices also point to an interest in the more fundamental questions of philosophy, truth, and the nature of reality. You seek deeper understanding of the human condition and our place in the universe.
- The Intersection of Science and Society: The data suggests an interest in topics that explore the relationship between scientific advancement and societal impact. The discussions around physics, AI and the possibility of alien life point to an appreciation of science, knowledge and discovery as a way to understand the world around us.
These themes collectively suggest you are interested in the broader context, not only focusing on the specific details. You seem to be a forward-thinker, someone who is curious about how current and future developments are shaping the world.
General Observations:
Your listening history suggests an inclination towards:
- Complex and Nuanced Discussions: You tend to gravitate towards podcasts that delve into complex subjects, with less focus on surface-level analysis.
- Multiple Perspectives: You are interested in exploring topics from a variety of perspectives, including those that may differ from your own.
- Intellectual Stimulation: There's a clear desire for intellectual engagement and stimulation with the content you choose to consume.
- Future Oriented: Your choice of content suggests a future focus and an interest in what is next for us as a species.
In summary, your podcast listening habits reflect a curious and analytical mind seeking to grapple with the big issues of our time. You're interested in the future, how technology is reshaping our world, and how we can navigate the complex challenges that lie ahead.
Global Summary Statistics
Total Time Spent Listening: 36364.14 minutes
Longest Podcast: #438 – Elon Musk: Neuralink and the Future of Humanity by Lex Fridman Podcast (393.55 minutes)
Most Listened Host: Lex Fridman Podcast (6791.29 minutes)
Host Listening Breakdown
- Lex Fridman Podcast: 7126.18 minutes
- Machine Learning Street Talk (MLST): 6197.72 minutes
- The Jordan B. Peterson Podcast: 5398.02 minutes
- Dwarkesh Podcast: 2659.54 minutes
- Huberman Lab: 2021.26 minutes
- Dan Carlin's Hardcore History: 1822.28 minutes
- The Rest Is Politics: 1576.60 minutes
- Making Sense with Sam Harris: 1080.89 minutes
- Leading: 1080.77 minutes
- Empire: 959.98 minutes
- The Rest Is History: 805.32 minutes
- The Infinite Monkey Cage: 598.51 minutes
- The Joe Rogan Experience: 532.75 minutes
- "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis: 504.84 minutes
- TRIGGERnometry: 502.16 minutes
- Google DeepMind: The Podcast: 453.97 minutes
- AXRP - the AI X-risk Research Podcast: 410.14 minutes
- All-In with Chamath, Jason, Sacks & Friedberg: 368.43 minutes
- Jason Fox Wild Tales Podcast – The Book of Man: 330.52 minutes
- The Joy of x: 276.37 minutes
- The 3b1b podcast: 203.68 minutes
- Stuff You Should Know: 154.92 minutes
- Modern Wisdom: 124.73 minutes
- 80,000 Hours Podcast: 110.05 minutes
- DataFramed: 106.93 minutes
- The Tucker Carlson Show: 98.10 minutes
- The James Smith Podcast: 89.97 minutes
- Real Dictators: 78.72 minutes
- Breaking Math Podcast: 71.00 minutes
- SAS: Who Dares Wins - Back to Base: 67.56 minutes
- Relaxing White Noise: 60.22 minutes
- RSam Podcast: 59.82 minutes
- The Rest Is Money: 58.53 minutes
- Rationally Speaking Podcast: 57.44 minutes
- The Numberphile Podcast: 54.60 minutes
- TED Talks Daily: 38.25 minutes
- Hello Internet: 36.13 minutes
- COMPLEXITY: 32.90 minutes
- Hidden Brain: 31.10 minutes
- Meditation Mountain: 24.90 minutes
- Markets Daily Crypto Roundup: 17.91 minutes
- Barron's Streetwise: 15.96 minutes
- Slow Burn: 10.17 minutes
- Get Sleepy: Sleep meditation and stories: 9.01 minutes
- Relatively Prime: Stories from the Mathematical Domain: 7.69 minutes
- More or Less: Behind the Stats: 7.23 minutes
- Practical AI: Machine Learning, Data Science, LLM: 5.61 minutes
