Ashvin
Ashvin earned his BA in Mathematics at Harvard, receiving early election to Phi Beta Kappa, graduating summa cum laude, and winning the David Mumford prize. He also holds a PhD in Mathematics from Princeton.
Michelle W.
Michelle graduated with high honors from Princeton University, majoring in Chemistry and minoring in Global Health & Health Policy and Neuroscience. Currently, she is working as an associate consultant at Trinity Life Sciences.
Amara
Amara is currently in her final year of the MD/PhD program at The Icahn School of Medicine at Mount Sinai and will be starting her residency in Neurology next year. She holds an undergraduate degree from Princeton.
Maryam
Maryam graduated summa cum laude with a BA in History and a Minor in Arabic from Princeton. After her Master’s in Early Modern European History at Oxford, she went on to pursue her PhD in in History and Middle Eastern Studies at Harvard.
Olivia W.
Olivia holds an BA in Chemistry from Princeton, and an MSt in General Linguistic and Comparative Philosophy from Oxford. She is currently pursuing a PhD in Linguistics at the University of Hawaiʻi with a focus on endangered language documentation and computational linguistics.
Alan C.
Alan attended Princeton, where he studied Mathematics, focusing on Probability Theory and Machine Learning Theory. He is now a PhD student at Harvard in the Department of Statistics, where he works on establishing mathematical foundations for machine learning tools that have had empirical success.
Chris B.
Chris received his AB from Princeton, where he studied History and American Studies. After earning his Ed.M. at the Harvard Graduate School of Education, he’s been teaching in Boston for the past decade.
Heide B.
Heide graduated summa cum laude from Princeton in 2020 with a BA in Chemistry. She's currently a PhD Candidate in Chemical Biology at Harvard; her current thesis work focuses on small molecule probes for degradation of tau in cell models of neurodegenerative disease.
Winston L.
Winston is an MD Candidate at Harvard Medical School. Previously, he pursued an undergraduate degree in Molecular Biology at Princeton University, where he graduated magna cum laude.
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.
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