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.
Graham
Blog posts
Testimonials
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“Going into this, I was only hoping to get into business school. By the time I finished with Graham, I exceeded my target score (about 100 points higher than I expected) and I was not only accepted to business school, but I was the recipient of an academic scholarship!”
Accepted to MBA program with an academic scholarship.
Sean, MBA Applicant -
“Graham was very accomodating and made sure he was available when I needed him to be.”
Final Score: 720, up from original raw score of 640.
Cam, GMAT Student -
“Graham engaged my child, provided good examples, and expanded on lessons.”
Trudy Ann, Parent of SSAT Student -
“Graham was very good at identifying my weak areas and working with me to improve them. He also provided test-taking tips and strategies that were especially helpful. His patience, thorough explanations, and knowledge of the topics made it easy for me to learn from him.”
Michelle, ACT Student -
“Graham was particularly good at targeting math—my son saw a huge improvement in his score!”
Went from 74th percentile to 93rd percentile on the SSAT.
Alyson, Parent of SSAT Student