Team
Join Berkeley Coding Academy
Corey Wade
Founder, Director, Lecturer
Corey Wade, MS Mathematics, MFA Writing & Consciousness, developed Berkeley Coding Academy to bring Python, Data Science, Machine Learning, and AI to a larger audience. At BCA, Corey organizes behind the scenes, develops all content, and provides live lectures. During the school year, Corey teaches math and programming at the Independent Study Program of Berkeley High School where has worked since 2004. Corey has published iPhone apps with students, designed classes to build websites, and run after-school coding programs to support girls and underserved students. A Springboard Data Science graduate, Corey has worked in industry developing Data Science curricula for Pathstream and Hello World while contributing articles for Towards Data Science. A multiple grant award winner, lead author of The Python Workshop (2019, 2022), author of Hands-on Gradient Boosting with XGBoost and scikit-learn (2020), and public speaker (ODSC West 2022, 2023), Corey’s passion in education comes from teaching advanced technical concepts to empower students of all ages. When not coding or teaching, Corey reads poetry and studies the stars. corey@berkeleycodingacademy.com
Mary Orozco
Senior Data Science Instructor
Mary Orozco is a UC Berkeley Senior double majoring in Data Science and Cognitive Science. She loves the versatility of Data Science, and how it continually adapts to different fields including Marketing and Healthcare, specifically medical imaging analysis. Proficient in Natural Language Processing, Mary built an original spam email classifier after analyzing multiple precision-recall curves via sklearn and pandas. A competitive soccer coach for Spurs FC and Lil' Spurs, Mary works with students of all levels ages 3-18. When not coding in Python, Java or SQL, Mary plays soccer, watches TV shows like Modern Family, and reads the classics. Mary hopes to encourage BCA students to pursue careers in coding by creating an incredible learning experience based on enthusiasm and shared knowledge.
Mitchell Dennis
Senior Data Science Instructor
Mitchell Dennis has Bachelor’s Degrees in Physics, Mathematics, and Computer Science and is currently pursuing a Doctoral degree in Astronomy at the University of Hawaii at the Manoa -Institute for Astronomy. Mitchell has experience using Python for data cleaning, analysis, and visualization and using keras and TensorFlow to develop deep neural networks. Mitchell currently works for multiple research teams at the Institute for Astronomy performing rare object detection with machine learning on high redshift galaxies in the COSMOS field and emulating stellar structure codes with machine learning to perform advanced statistical analysis on the theoretical production of dark matter in stellar cores. In his spare time, Mitchell writes research articles on J.R.R. Tolkien’s literary works and goes hiking in the beautiful mountains of Hawaii. Mitchell is excited to share his knowledge and passion for machine learning and data science with the students of Berkeley Coding Academy.
Gia Perez Sanchez
Data Science Instructor
Gia Perez Sanchez is studying Cognitive Science at Johns Hopkins University with a focus in Computational Approaches and Psychology/Neuropsychology. She is interested in the intersection of humanity and robotics, specifically with artificial intelligence and bionics. As a Latina in STEM, she strives to make the field of technology more inclusive for minorities and researches the impact of racial bias in Machine Learning algorithms. Gia has tutored students for over five years in a variety of subjects including Math, Science, and Spanish. She also loves reading science fiction novels and listening to a wide range of music. As a part of the Berkeley Coding Academy instruction team, Gia looks forward to helping students thrive in the Data Science world.
Satvik Sriram
Data Science Instructor
Satvik Sriram is a sophomore at UC San Diego studying Computer Science with a heavy interest in software engineering and machine learning. He loves the real-world applications of machine learning and applies it by competing in Hackathons and undertaking various projects. Previously he completed a research project on COVID-19 and the likeness of contracting it based on varying factors by country and presented it at regional fairs. Outside of coding deep learning models, Satvik enjoys spending his time rock climbing and performing specific body weight exercises in calisthenics. Satvik looks forward to spreading his love and passion for machine learning and its capabilities to BCA students.
