Metis accelerates your career in data science. Our immersive courses, designed by world-class industry practitioners, provide you with intensive, on-site instruction, access to an extensive network of speakers and mentors, and ongoing career coaching and employment support.
Our goal is to prepare you to succeed as a data scientist.
– Welcome to Metis.
To help you succeed, we commit to:
Train you to think and act like a data scientist, which starts with asking the right questions and constantly adapting as new information is learned.
Teach you the most essential skills and technologies to establish a baseline knowledge from which you can springboard into your next job.
Immerse you in real-world, complex problems that you will unravel to create a robust portfolio of projects.
Create opportunities to connect with prospective employers and present to them your skills and passion.
Provide you with excellent student support so that your attention remains exclusively focused on becoming a data scientist.
Inject continual fun, passion, and excitement into your experience at Metis.
We strive, we sweat, we swear.
We go the extra mile.
We stage, we fail.
We try again. Get it right.
We learn. Connect. Come together.
Welcome to Metis.
Aaron, a Metis data science instructor, develops systems that lead to knowledge and action.
Aaron comes to Metis from consultancy Booz Allen Hamilton, where he helped government clients make effective use of data. His work has ranged from building visualization prototypes with the UK’s National Health Service and NYU’s GovLab to winning the Arlington Public Schools Big Data Roundtable by building predictive models for student outcomes. Aaron’s academic background is in math - after his BS at the University of Wisconsin-Madison, his MAT Mathematics thesis at Bard College demonstrated a novel construction of quaternion and octonion integers. Since then, Aaron has enjoyed working on more directly practical problems. Always passionate about education, Aaron first taught data science by that name in 2013; his students have gone on to work at companies including Airbnb, Infochimps, and Netflix.
Jonathan, a Metis data science instructor, loves using data to understand the world.
Jonathan comes to Metis after working as an independent consultant with a background in Mathematics, Finance, and Software Development. His mathematical work on computational number theory and quadratic forms have focused on using computers to solve hard problems for over a decade, culminating with a proof of the 290-Theorem (jointly with 2014 Fields Medalist Manjul Bhargava). He has contributed extensively to the open-source SAGE computer algebra system and enjoys using the latest technologies to create a more productive world. Jonathan has been involved with mentoring at the PROMYS program for high school students at Boston University since he attended as a student 25 years ago, and currently serves as a Trustee of the PROMYS Foundation. He has also worked on Stochastic Portfolio Theory as a way of understanding the structure of equity markets through their price movements. Since receiving his Ph.D. in Mathematics from Princeton University, Jonathan has lectured internationally and taught mathematics at many interesting places including Princeton, Duke, Rutgers, and the University of Georgia over the last 15 years. His students have gone on to successful careers in academia, cryptography and data science.
Julia, a Metis data science instructor, loves using data to study and explore phenomena.
Julia comes to Metis after working at JetBlue as a quantitative engineer. While at JetBlue, she used quantitative analysis and machine learning methods to provide continuous assessment of the aircraft fleet. Julia began her career as a structures engineer, where she designed repairs for damaged aircraft. In 2011, she transferred into a quantitative role at JetBlue and began her M.A. in Applied Math at Hunter College, where she focused on visualizations of various numerical methods including collocation and finite element methods. She discovered a deep appreciation for the combination of mathematics and visualizations and found data science to be a natural extension. Julia has also worked as an Expert in Residence for a company that provides data science training. She continues to collaborate on various projects including the development of stock trading algorithms. During certain seasons of her career, she has also worked on creative side projects such as Lia Lintern, her own fashion label.
Bo, a data scientist at Datascope, uses data to improve the way people make decisions.
At Datascope, Bo creates unique, human centered solutions that allow businesses to maximize the value and application of their data. She works on all phases of data science projects, from brainstorming workshops, to designing and implementing statistical and machine learning algorithms, to dashboard development and final visualization. She has also led corporate data science literacy workshops, where she trains working professionals how to think quantitatively. Technically, she is a statistician, with an M.S. in Statistics and B.S. in Mathematics, both from The University of Chicago.
Laurie, a data scientist at Datascope, loves going after tough answers to great questions.
At Datascope, Laurie builds analytical tools for a wide range of clients to help them use data to solve their business problems. Prior to her switch to data science, she studied social neuroscience at the University of Chicago, building machine learning models of imaging data to explain how the brains of incarcerated psychopaths perceive and process emotions. Her least favorite part of data science is pruning the scope of a project down to a manageable size. Actually, that is her least favorite part of most things. Laurie is a passionate teacher, and she is very excited to return to the front of the classroom for the Data Science bootcamp.
Irmak is a partner and data scientist at Datascope, where he solves business problems with data by designing analyses and interfaces.
Irmak has helped companies across industries solve problems with data, from small companies to members of the Fortune 50. He also conducted and published academic research on a wide range of topics, such as web browsing habits of people from different demographics, school choices of high schoolers, global airline networks, endangered species conservation, natural language topic models, and optimizing DNA for protein production among others. Technically, Irmak is a Material Scientist (BS and MS, Sabanci University, Turkey), Chemical and Biological Engineer (MS and PhD, Northwestern University) and an Art Historian (Minor, Sabanci University). Practically, he believes in merging knowledge from different disciplines to ask and answer the right questions. When he is not striving for this, he believes in movies, bourbon, and Elliott Smith.
Kevin Quealy is a graphics editor at The New York Times and a contributor to The Upshot, the Times' data-centric vertical about policy, politics and everyday life. He has taught journalism and data visualization courses at N.Y.U., the University of California-Berkeley and the City University of New York. Before coming to The New York Times, Kevin served as a Peace Corps volunteer in South Africa. He has a Master's degree from the Missouri School of Journalism and a B.A. in physics from Gustavus Adolphus College in St. Peter, Minnesota.
Reshama uses her statistics, business and programming skills to explore data and share the knowledge with other data science enthusiasts.
Reshama has over 10 years experience working in the pharmaceutical industry as a biostatistician. Reshama has her BA and MS in statistics (Rutgers University). She is also a francophile (Minor in French, Rutgers). She completed her MBA from NYU Stern in 2014 with a focus on business analytics and technology.
Jason is the Co-Founder of Metis and the Vice President of Strategy at Kaplan Test Prep, where he helps Kaplan launch new businesses.
For almost 20 years, Jason has worked in education. From founding a nonprofit organization in New Orleans to working at global companies such as McKinsey & Company, Scholastic, and now Kaplan, where he has been since 2007, Jason has sought opportunities to work with exceptional teams on developing and marketing new products. He has been married for 10 years and has two kids. He is teammates with Bernardo not only in the launch of Metis, but also as participants in the Tough Mudder and Super Spartan.
Tarlin Ray is the Head of Admissions of Metis and a Vice President at Kaplan Test Prep.
For over 15 years, Tarlin has held leadership positions in several early stage companies such as T.w.I.S.M (Shaquille O’Neal’s clothing company), The Groove Alliance (proprietary 3D technology) and Virgin Charter (Richard Branson backed start up). He also had a prior role as an executive at Kaplan Test Prep. He has returned to the education field to marry his passion for lifelong learning and his dedication to building innovative products and services. He has been married for 9 years and has two kids.
Megan, a technology recruiter, loves guiding people on their career paths and helping them find their next great jobs.
Megan has been working as a recruiter in the tech community for the last 6 years. She is also the Co-Organizer at Women Who Code & a Zumba Instructor.
Laura is passionate about bringing people into technology and making things happen.
Before joining Metis, she worked in Tech Operations, Project Management, International Relations, and had a brief stint as a magazine editor. She is a member of Women Who Code and is very committed to the cause. In her spare time, she enjoys skiing, reading, robots, and wondering about the universe. Laura graduated from ITESM as a Computer Engineer.
Leah, a seasoned administrative professional, is passionate about connecting to people and helping them achieve their educational goals.
Before becoming Program Manager at Metis, Leah worked for (and currently still does) Kaplan Test Prep, along with working in the admissions department at Metis. Leah graduated with a degree in Art History and Spanish and prior to joining Kaplan, worked at an investment bank, managing all aspects of the company and its employees. She also teaches art with Free Arts NYC and at the Harlem YMCA. In her spare time, she enjoys any craft-based project, traveling, hiking and Jeopardy.
Scott is passionate about non-traditional education and experiential learning.
His career includes both non- and for-profit design and technology curriculum development and marketing. He has worked for Pearson Education creating online learning strategies, for web-based college Sessions.edu as CMO, and has travelled the world delivering experiential learning workshops for the World Game Institute. He also teaches digital publishing and elearning at Rosemont College. Originally from the South, he has settled into Montclair, NJ where he plays pick-up soccer and hangs out with his two little girls.
Dean is a co-founder and data scientist at Datascope, a data science consulting firm that specializes in building new tools where none exist.
Dean has been crafting solutions for Datascope's clients for the past 5 years across a wide range of industries and use cases. He has spoken at numerous conferences like Strata and published peer-reviewed research in journals like Nature, Science, and PNAS that have been featured in places like TIME, Wired, and US News & World Report. He also serves as an advisor for the NUvention Analytics entrepreneurship course at Northwestern University and as a volunteer mentor for the Data Science for Social Good program in Chicago.
John Harnisher is Vice President of Learning Science, Data & Analytics at Kaplan Test Prep. He is charged with expanding the influence and impact of predictive analytics in KTP’s product, marketing, and business operations to more fully integrate data analytics and predictive modeling within KTP’s decision making and planning functions.
John also oversees KTP's Learning Sciences team to enhance the measurement of student learning outcomes, further Learning Science research in the test prep industry, and improve the efficacy of KTP's products. John is an experienced practitioner and researcher in the fields of data modeling and analytics. On the academic front, John was previously an Adjunct Professor at New York University and also an Assistant Professor of Statistics at Columbia University. Professionally, John has held senior roles at several research and survey firms including SPSS, Caliper, and Metrix Matrix. Most recently, John served as President of I/O Solutions, a leading HR assessment and consulting firm. John holds a Ph.D. in Psychology from New York University and a B.A. in Psychology from Connecticut College.
Debbie is the Founder & CEO of Stride, NYC's most reliable Agile consulting team. She also serves as a NY Pod Leader for Venwise, an ERA Mentor and GA Instructor.
Prior to Stride, Debbie was the CEO of Cyrus Innovation, an Agile software development consulting firm. She grew Cyrus into 60-person, a multimillion dollar, 5 time Inc. 5000 Fastest Growing Private Companies winner, and Crain's NY Best Place to Work. Debbie is a sought after public speaker and writer, appearing in The Wall Street Journal, Forbes, Fox Business TV, The Huffingpost, Inc Magazine and more.
Larry Rudman received his BA from Yale in 1989, and as a member of the first Teach for America class received a first-hand education in teaching in Brooklyn middle schools. He then pursued his doctorate in Human Development and Psychology at the Harvard Graduate School of Education, but left before completing his dissertation.
Previously employed by educational software company Sunburst Technology, Larry has been with Kaplan for the past eight years, overseeing asset development and leading the Learning Sciences Team. He was appointed VP of Instructional Design and Research in November 2013, and continues to work closely with top-flight international researchers.