Alena
Alena studied electrical engineering at Stanford. After graduation, she worked for a cybersecurity startup before spending four years at Google as a software engineer.
Max R.
Max holds a PhD in Computer Science from UC Berkeley, prior to which he received his AB in Mathematics from Princeton University. He has done research across multiple areas of machine learning and statistics, notably natural language processing, fine tuning for neural networks, probabilistic modeling, and statistical theory.
Amnon
Amnon is a PhD in Computational Robotics and Reinforcement Learning at The University of Illinois at Urbana-Champaign. He has been recognized as an Outstanding Teaching Assistant by his university for teaching Artificial Intelligence and Machine Perception.
Nick O.
Nick attended Washington University in St. Louis as an Ervin Scholar, where he double majored in Mechanical Engineering and Sustainable Development. Currently, Nick is a doctoral student in the Management Science and Engineering Department at Stanford University, where his research focuses on the consequences of disruption, abolitionist technologies, and business models that incentivize responsible urban innovation.
Scott
Scott earned his MBA from Yale and BS in Applied Economics and Management from Cornell. He has worked as a management consultant and a semi-professional poker player. Currently, he works at Google.
Tom
Tom earned his BA in Computer Science & Mathematics from Harvard and then worked at an AI and robotics company in Silicon Valley. He is now a Computer Science PhD at MIT.
Dan
Testimonials
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“Dan explained topics very clearly and simply. It was worth the months of studying.”
Score went from 500 to 950
Eric Bryan -
“Daniel presents material and examples very well, maintains focus, improves clarity, precision and accuracy in descriptions of phenomena, mathematical representation, etc. Excellent conversation, patience, demeanor coupled with expertise. Great desire to learn and help. Daniel exceeded my expectations for what is an unusual pursuit by me in independent research and acquisition of knowledge.”
Don, Theoretical Solid State Physics Student -
“I have engaged over ten tutors in the past twenty years to help me self-study topology, differential geometry, general relativity, and QFT. All of them were very talented, but Dan is without question the "supremum of the set," in that he is the most knowledgeable and delightful. No question in his broad purview remains unanswered. He furthermore allows you to follow a non-linear learning path, if so desired, and sample any topic in which you are interested at any time. He always avails himself to unscheduled questions that come up as you study. However, the most wonderful of all of his many attributes is the fact that Dan conveys his love, enthusiasm and wonder for the spectacular physical universe around us. In short, Dan is the best. Look no further.”
Eric -
“Dan is an amazing tutor! He was extremely helpful when I took Electricity & Magnetism last year. He is very knowledgable and great at explaining difficult concepts”
David