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.
Pete
Blog posts
Testimonials
-
“Pete was an incredibly knowledgeable, supportive, and efficient writing tutor. I sincerely believe the guidance that Pete gave me helped me garner my two acceptances. I applied to almost twice the number of medical schools people usually apply to, and Pete was able to help me out with all of them in a timely manner. He edited essays line-by-line and helped me develop coherent ideas. When my ideas were unclear or underdeveloped, he encouraged me to think deeper. This is one of Pete's greatest strengths. He is able to not only spot awkward sentences, but also underdeveloped ideas. In this way, he helped me become both a stronger applicant and a better writer.”
Accepted to Medical School.
MDl Applicant -
“Pete was a critical component in my medical school admissions process. He had a number of insights about how to draw the best anecdotes out of my life stories, and helped me write an authentic and professional narrative. Regardless of the outcome of this application cycle, I plan to use these lessons in other professional applications I'll be required to submit in the future.”
Ian, MD Applicant