Our Teachers
and Tutors
Meet a selection of our talented, dedicated faculty below! Each of our educators has background in international competitions, and have graduated or are actively studying at some of the most prestigious schools globally.
Learn from the Best Minds in Mathematics
Our faculty combines competition excellence with top-tier research experience. From IMO gold medalists to Google Brain researchers and interdisciplinary bioscience pioneers.
Member of Google Brain Team working on TensorFlow. PhD from UC Berkeley, dual Bachelors from MIT in Math and CS. IMO Gold 2001, Silver 2000 & 2002. Bridges deep theory with real-world AI engineering for our advanced students.
Studies Math at MIT. IMO Gold 2019, BMO Bronze 2019, JBMO Gold 2016. TUBITAK camp alumnus, SAT Math 800 & Physics 800. Coaching olympiad students since 2017, passionate about mentoring young talent in competition math.
Mathematics at Princeton University. Gold medalist at IMO 2018 in Romania. Exceptional proof-writer with deep competition insight. Teaches rigorous reasoning and elegant mathematical communication in our advanced high school tracks.
UC Berkeley Computer Science and Technology. Bridges core mathematics with AI & Machine Learning track. Expert in Python, algorithms, and neural networks. Connects abstract concepts to real applications for students of all levels.
MIT Computer Science and Mathematics. Dual expertise in theoretical math and cutting-edge CS. Mentors proof-writing, algorithmic thinking, and hands-on AI projects. Known for clear explanations and inspiring problem-solving sessions.
Researcher in Computer Science focusing on Hybrid Human-Machine Information Systems. Expert in data science, HCI, and AI. Lectures on how mathematical logic powers modern intelligent systems and human-machine collaboration.
B.S. in Mathematics from Harvey Mudd College, pursuing PhD in Business. Strong foundation in pure math and quantitative analysis. Teaches structured problem solving and mathematical modeling for real-world business analytics.
Head of Machine Learning at Cellarity, former researcher at Harvard Medical School. Leader in computational biology and AI-driven discovery. Shows how advanced math underpins machine learning and biomedical innovation in practice.
Researcher at Bio-X Interdisciplinary Biosciences Institute in Mechanical Engineering and Neuroscience. Bridges engineering, brain science, and mathematics. Inspires students with real-world applications in neurotechnology and biosciences.
Researcher at Bio-X Interdisciplinary Biosciences Institute in BioRobotics. Works at intersection of robotics, biology, and mathematics. Teaches how mathematical modeling drives bio-inspired design and intelligent robotic systems.
Pediatric Intensivist and Scientist with MBBS and DPhil. Combines medical expertise with deep scientific research. Shows how mathematical reasoning, data analysis, and evidence-based thinking save lives in critical care medicine.