We provide outstanding data science training programs to help individuals accelerate and pivot their careers in data science. We are actively looking for talented, hard-working and good-natured people, who are active in the data science community, that will strive, sweat and go the extra mile for our students.
Jason, President and Co-Founder of Metis, aspires to improve everyone's data science skill set.
For almost 20 years, Jason has worked in education. From founding a nonprofit organization in New Orleans to working at companies such as McKinsey & Company, Scholastic, Kaplan, and now Metis (a part of Kaplan), he has sought opportunities to build businesses and work with exceptional teams on creating transformative learning experiences and products.He spends most his time at Metis (1) ensuring the quality of the student experience and outcome; (2) developing the roadmap and building the team to grow the business; and (3) engaging with data scientists around the country with whom Metis can collaborate.He has been married for 12 years and has two kids. In his spare time, he enjoys kickboxing, participating in obstacle courses, and blogging about billiards movies and television shows.
Check out content by and/or featuring Jason:
Article: Congrats, You Finished Your Bootcamp! Now What?
Article: The three leagues of data literacy – and how to play to win
Video: Going Where the Unicorns Roam - Entering the Field (ODSC West 2015)
Interview: Data Science Bootcamp Founders Interview
Debbie, Chief Data Scientist at Metis, uses her "physics glasses" to solve challenging real-world problems and promote critical thinking.
Deborah Berebichez is a physicist, data scientist and TV host. She has expertise in scientific research and advanced analysis and she has helped automate decision-making and uncover patterns in large amounts of data. Her passion lies in merging critical thinking skills with practical coding skills. She specializes in drawing connections between the approaches used in data science and the challenges organizations face. Deborah has a Ph.D. in physics from Stanford and completed two postdoctoral fellowships at Columbia University's Applied Math and Physics Department and at NYU's Courant Institute for Mathematical Sciences. She is a frequent mentor of young women in STEM. Her work in science education and outreach has been recognized by the Discovery Channel, WSJ, Oprah, Dr. Oz, TED, DLD, WIRED, Ciudad de las Ideas and others.
Check out content by and/or featuring Debbie:
Caryn enjoys helping students unlock their potential and achieve their goals.
Caryn comes to Metis with over 20 years experience in education, operations, and delivering great student experiences. Caryn began her career in education with Kaplan Test Prep. She held various roles including Regional Director and Executive Director of Classroom Operations where she had the opportunity to help thousands of students get into their top choice colleges and graduate schools. In 2015, Caryn joined Dev Bootcamp where she had the opportunity to help students achieve their dreams to become web developers. She has her business degree from the University of Wisconsin - Madison. Caryn enjoys international travel, experiencing different cuisines, and drinking great wine.
Michael, a senior data scientist, enjoys using data to create new things and solve previously "unsolvable" problems.
Michael comes to Metis from General Electric where he worked to establish their data science strategy and capabilities for field services and to build solutions supporting Global operations, risk, engineering, sales, and marketing. He also taught data science and machine learning for General Assembly. Prior to GE, Michael spent several years as a data scientist working on problems in credit modeling at Kabbage and corporate travel and procurement at TRX. Michael holds a Bachelor's degree in Mathematics and a Master's degree in Computational Science and Engineering from the Georgia Institute of Technology where he also spent 3 years working on machine learning research problems related to computational biology and bioinformatics. Additionally, Michael spent 12 years in the United States Marine Corps where he held various leadership roles within aviation, logistics, and training units. In his spare time, he enjoys running, traveling, and reading.
Check out content by and/or featuring Michael:
Interview: Mike Galvin on How Metis is Demystifying Data Science
Jerod endeavors to constantly challenge and iterate upon educational content and delivery, while creating an empathetic, inclusive, and influential learning environment.
Jerod comes to Metis with 10 years experience in education and professional coaching. He most recently worked in the software engineering bootcamp space, including with Dev Bootcamp and Hack Reactor, on development and growth, operational effectiveness, systems/process optimization, and cross-functional leadership, with an emphasis on organizational health. He held multiple positions including VP of Operations managing a team of 50+ across the country, and Managing Director overseeing local campuses in Seattle, San Francisco, and Austin. Prior to this work, he was a Professor at Guangxi University in China teaching Industrial/Organizational Psychology and Globalization & Cultural Psychology. He enjoys running marathons, triathlons, krav maga, jiu-jitsu, and leadership development and research.
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.
Check out content by and/or featuring Julia:
Talk: Deep Learning with Keras (Strata Data Conference 2017)
Vinny, a Metis data science instructor, views data as a facet of perception.
Vinny comes to Metis after leading a team of Data Scientists at High 5 Games. Prior to that he taught Machine Learning at General Assembly and built tools for Animators and Effects Artists at Blue Sky Studios (the company that made Ice Age, Rio and The Peanuts Movie). He has a Masters in Computational Engineering and another in Creative Writing. He enjoys the nexus of mathematics, computer programming, human perception and arts. Over the past three years, Vinny has been knee-deep in large distributed data -- aggregating, building recommendation systems, measuring popularity and predicting Lifetime Value. In that time, he also finished a first draft of his novel. An avid programmer, Vinny has won various programming contests including the Regional ACM Collegiate Programming Contest. He has taught at the University of Miami and has given talks and presentations at various colleges and conferences.
Check out content by and/or featuring Vinny:
David has a penchant for solving novel problems with machine learning and revels in sharing knowledge with others.
David comes to Metis from HAVI, where he provided strategic vision, machine learning expertise, and technical training as he worked with leadership to build the company’s first data science team. Prior to HAVI, David led multiple facets of a big data cybersecurity project while working at a research lab for the Department of Defense. David holds a Master’s degree in Electrical Engineering from Boston University, where he specialized in algorithms and optimization methodologies. His expertise and interests revolve around machine learning, best coding practices, big data technologies, out-of-core computational methods, numerical optimization, and developing proof of concepts.
Check out content by and/or featuring David:
Article: How to Ace the Data Science Interview
Panel: NAS Roundtable on Data Science Postsecondary Education
Talk: Rapid Prototyping in Data Science with Big Data & Python (PyOhio 2017)
Zach loves looking for kernels of truth hidden within data and using that knowledge to bring understanding into novel situations.
Zach has spent the last eight years collecting, cleaning, and analyzing data from particle accelerators all over the United States, putting to use his PhD in nuclear physics. He's helped pioneer statistical analysis, simulation, and data collection techniques to make measurements from hundreds of terabytes of physics data. During these efforts, Zach has worked with Los Alamos National Laboratory, Brookhaven National Laboratory, the University of Kentucky Accelerator Lab, and the University of Illinois at Chicago. His passion is combining technical and programming skills with the educational chops he developed as a professor in order to create an intuitive, hands-on learning experience. In his free time, Zach plays numerous instruments, climbs rocks, and eats green chiles.
Check out content by and/or featuring Zach:
Talk: Roadmap: How to Learn Machine Learning in 6 Months (Chicago Data Science Conference 2017)
Article: Dear Aspiring Data Scientists, Just Skip Deep Learning (For Now)
Article: Recommendation Engines for Dummies
Jonathan Balaban is a consultant, data scientist, and entrepreneur with ten years of private, public, and philanthropic experience.
As a data scientist, he has worked at McKinsey and Booz Allen Hamilton, and he has taught data science at General Assembly. He has led teams to design bespoke data science solutions that have driven revolutionary changes in client operations. Jonathan - sometimes successfully - leverages data science solutions in his personal life: on friends, racing, and training.
Check out content by and/or featuring Jonathan:
Article: Three Questions Business Leaders Should Be Asking About Apple’s New Machine Learning Kit
Talk: Fortune-Telling with Python: An Intro to Time Series Modeling (ODSC East 2017)
Talk: Fortune-Telling with Python: Intro to Facebook Prophet (ChiPy Users Group)
Article: Best Practices for Applying Data Science Techniques in Consulting Engagements
Seth loves using math to turn organizations' data into money - and teaching others how to do the same.
Seth joined Metis from Trunk Club, where he built their lead scoring models and contributed to their recommender systems. He transitioned into Data Science from management consulting by taking courses on Coursera and Udacity; this experience made him passionate about alternative education experiences such as MOOCs and bootcamps, which led him first to teach data science part time for General Assembly and ultimately led him to join Metis. He has Mathematics and Economics degrees from The University of Chicago, and outside of work he likes to spend time reading, playing Ultimate Frisbee, and enjoying Chicago’s art, comedy, and theater scenes.
Check out content by and/or featuring Seth:
Article: 4 Deep Learning Breakthroughs Business Leaders Should Understand (VentureBeat)
Roberto is a scientist with a strong background in data analysis and image/signal processing.
Roberto comes to Metis from Sensoria Inc., where he led the signal processing team. He has worked in applications in the healthcare, internet of things, and business intelligence markets. He received a PhD in Biomedical Engineering from Boston University, and has co-authored several scientific publications, book chapters, and patents. He enjoys hiking and soccer.
Check out content by and/or featuring Roberto:
Talk: Visualization: Simplified
Article: Displaying Images in Tableau (with some help from Python)
Alice, a Metis data science instructor, enjoys making complex things easy to understand.
Alice comes to Metis from Cars.com, where she started as the company's first data scientist, supporting multiple functions from Marketing to Technology. During that time, she also co-founded a data science education startup, Best Fit Analytics Workshop, teaching weekend courses to professionals at 1871 in Chicago. Prior to becoming a data scientist, she worked at Redfin as an analyst and at Accenture as a consultant. She has her M.S. in Analytics and B.S. in Electrical Engineering, both from Northwestern University. She blogs about analytics and pop culture on A Dash of Data. Her blog post, "How Text Messages Change From Dating to Marriage" made it onto the front page of Reddit, gaining over half a million views in the first week. She is passionate about teaching and mentoring, and loves using data to tell fun and compelling stories.
Check out content by and/or featuring Alice:
Podcast: Data Science for Beginners (Learn to Code with Me Podcast)
Talk: Support Vector Machines: A Visual Explanation with Sample Python Code
Article: Geek of the Week (GeekWire)
Joe loves tackling unusual problems with the tools of data science and has a passion for effectively communicating quantitative ideas.
As both a math enthusiast and a former competitive debater, Joe was drawn to data science by its place at the intersection of statistics, computing, and communication. He has worked on projects ranging from quantifying and comparing story plots to building a Bayesian model of human rights abuse rates that accounts for informational bias. Before transitioning into data science, he worked in various data analytics roles, most recently as an Equity Research associate on Credit Suisse's portfolio strategy team. He holds a B.A. in Mathematics from Columbia University, and is also a Metis alumnus. He currently coaches NYU's parliamentary debate team, and in his free time he enjoys playing piano, reading, and playing board games.
Check out content by and/or featuring Joe:
Article: Safety in Numbers: My 18th Place Solution to Porto Seguro’s Kaggle Competition
Sophie loves extracting representations and understanding from data and pushing data science to be a more positive and inclusive discipline.
Sophie Searcy comes to Metis from Elektra, a wearable startup that is replacing haptics with electricity. At Elektra she was cofounder and CTO, designing everything from the electronics to the framework for analyzing data. Before that she worked in the CoDaS lab at Rutgers where she combined cognitive science and theoretical computer science to build models of how people and machines teach and learn. She holds masters degrees in Electrical and Computer Engineering and Psychology. She is passionate about teaching, both in theory and in practice, and about making sure that data science is primarily a tool that is used to improve people's lives.
Check out content by and/or featuring Sophie:
Article: Deep Learning from Scratch with Python
Article: A Case for Diversity
Chad enjoys that data science gives practical approximations to the complex uncertainties of reality.
Chad comes to Metis from a diverse technical background. After earning his mathematics PhD from Indiana University, Chad joined Pacific Northwest National Laboratory to work on statistical and computational challenges ranging from homeland security to high-performance computing and machine learning research. Following several of his publications at top-tier ML conferences, he turned to probabilistic programming, then still in its infancy. He has used these systems for consulting projects for industrial clients, and has led development and publication of several new ones along the way. In his spare time, Chad enjoys a wide range of music, and practices martial arts, where he has black belts in several styles.
Check out content by and/or featuring Chad:
Robert loves to break deep technical concepts down to be as simple as possible, but no simpler.
Robert has data science experience in companies both large and small. At Intel, he used his knowledge to tackle problems in data center optimization using cluster analysis, enrich market sizing models by implementing sentiment analysis from social media feeds, and improving decision making in one of the top 5 global supply chains. At Tamr, he built models to unify large amounts of messy data across multiple silos for some of the largest corporations in the world. He earned a PhD in Applied Mathematics from Arizona State University where his research spanned image reconstruction, mathematical epidemiology and oncology. Robert is an Adjunct Professor at the Leavey School of Business where he teaches Data Science and Machine Learning. In his spare time, he is a rum judge, avid traveler, and eater of all things coconut.
Brendan Herger enjoys bridging the gap between data science and engineering, to build and deploy data products.
Brendan brings a unique combination of machine learning, deep learning, and software engineering skills. In his previous work at Capital One and startups, he has built authorization fraud, insider threat, and legal discovery automation platforms. In each of these cases he's lead a team of data scientists and data engineers to enable and elevate his client's business workflow (and capture some amazing data).
When he's not knee deep in a code base, Brendan can be found traveling, sharing his collection of Japanese teas, and playing board games with his partner in Seattle.
Damien looks to data to build simplified models of the world, to help us understand and reason about it.
Damien has experience bringing esoteric subjects down to Earth. After completing a PhD in cosmology, he spent his time developing project-based learning in physics, math and computer science at small liberal arts colleges. He loves developing projects that are relevant and interesting, while still highlighting the important concepts. After leaving the classroom, Damien worked as a curriculum designer and data scientist for a small San Francisco recruiting startup for people looking for coding jobs. When he's not working on lectures, Damien can be found studying Wing Tsun, playing Go, or on a photo hike.
Amy is dedicated to creating meaningful relationships with students as they navigate through the Admissions process and beyond.
With over eight years in higher education, Amy is passionate about developing an engaging and effective Admissions process, while using data to gain insights and drive decision-making. She is lauded for her ability to work cross-functionally and her focus on customer service. In her spare time, she enjoys exploring New York City and spending time with her two dogs.
Check out content by and/or featuring Amy:
Article: How to Get into the Metis Data Science Bootcamp (CourseReport)
Josh is a career education professional who is passionate about creating meaningful relationships with students and helping them take the next best step in their education and career.
Josh started his career in education by spending nearly 4 years in South Korea as a teacher. After returning from South Korea, Josh launched an online school teaching ESL to business professionals around the world. He also enrolled in and completed a M.Ed. from the University of Cincinnati. Most recently, Josh worked at Hack Reactor as an admissions and program manager, developing innovative programs that would help students prepare to apply and creating sincere relationships with students to help them take their skills to the next level.
Jennifer enjoys creating individualized career plans designed to breakdown the job search process and distinguish you from your competition.
Jennifer comes to Metis with close to 8 years of experience in career development. Her tenure at TheLadders included managing a team of sourcers dedicated to connecting talent with employers. With a double certification in Career Coaching and Resume Writing coupled with a keen sense of the recruitment process, Jennifer is eager to share her experience and knowledge on how to successful gain employment. Jennifer has her BA in English and Language Arts. During her free time, she enjoys cooking, reading, and dancing with her husband and new baby boy.
Andrew is passionate about connecting people to their dream job.
Andrew is passionate about helping students see what's possible for themselves, by providing them with personalized career support that helps them achieve their specific goals. A lifelong Bay Area resident, Andrew graduated from Santa Clara University with a degree in Political Science. Andrew combines his experience as a Career Coach with previous roles where he helped tech companies expand their business and hire employees who best fit their needs. As the Career Advisor in San Francisco, Andrew helps students prepare for the workforce by helping them identify what they really want out of a career, developing a workable plan, and providing support at every step along the way. Outside of work Andrew enjoys traveling, hiking, and spending time with his pug.
Check out content by and/or featuring Andrew:
Interview: AI & Deep Learning News (AITV Episode)
Article: Navigating the Data Science Job Market – What to Know Before You Apply
Talk: How to Position Yourself in the Data Science Job Market (ODSC)
Ashley is a passionate Career Advisor who enjoys helping job seekers realize their full professional potentials and assisting them with finding their dream careers.
Ashley has 5 years of experience as an employment professional. She started her career as a technical recruiter, and most recently worked at DeVry University as a Career Advisor supporting the technical programs. Working in both a recruiting and advising capacity has given her a strong understanding of the recruitment process and what employers seek in a quality candidate, especially in the technical industry. Ashley is excited to be a founding member of the Chicago Metis team. She can't wait to get started working with students and graduates to assist them with identifying what they want out of a career and helping them find the career they are looking for. Outside of work Ashley enjoys staying active through rec sports and running, she enjoys reading, spending time with friends and family, and traveling.
Check out content by and/or featuring Ashley:
Talk: Data Science Job Search 101 #ProTips
Podcast: Tech Scene Chicago
Talk: Data Science Job Search 101 #ProTips (ChickTech Act-W Conference)
Leah is passionate about connecting to people and helping them achieve their educational goals.
Leah started her career first managing a children's enrichment center and then in the finance world, before joining Kaplan Test Prep in 2012 and transitioning full-time to Metis in 2014. After overseeing the NY location as Program Manager and additionally Metis' other locations and Program Managers, she moved into her Director role in March of 2017. She also acts as Designated School Official for our M-1 visa assistance and School Director for NY BPSS. Leah graduated with a degree in Art History and Spanish and in her spare time she enjoys any craft-based project, traveling, hiking and Jeopardy.
Jesel enjoys using every possible resource to help others recognize their talents and improve their outcome for success.
Prior to joining Metis, Jesel previously worked in non profit and healthcare settings cultivating relationships and increasing engagement to shape culture and drive business goals. Jesel has a Master's degree in Industrial & Organizational Psychology and her days off will usually include looking for a sunny spot to relax and meditate.
Caroline is passionate about forming meaningful relationships with students and helping them reach their greatest potential.
Caroline comes to Metis with four years of experience providing student support and serving as a Designated School Official to international students. She thrives on providing excellent customer service and creating a comfortable learning environment. Caroline graduated with a Bachelor of Science in Communication Studies from Illinois State University and a Master of Arts in Intercultural Communication from The University of Manchester. She enjoys traveling, animals, and learning about different cultures.
Stephany is a numbers girl with a passion for statistics, social entrepreneurship, and education.
Stephany is an action oriented behavioral economist with a passion for education. She comes to Metis from Florida State, where she earned her degree in Economics with concentrations in Psychology and Math. Her college experience included a run as the youngest Student Body President at a Florida State campus, and she's excited to use her energy and experiences to shape the student experience. Out of the office, you can count on Stephany for a trip to the local bookstore, music venue, or brunch.
Jane is a data-driven marketer committed to growing the Metis student and graduate community.
Jane's passion lies in working with talented teams to implement measurable, integrated marketing plans that make a positive impact on businesses she believes in. She comes to Metis from the digital marketing agency Blue Fountain Media, where she worked as a Marketing Director to create and execute on strategies that addressed clients' brand and business goals. Prior to that she worked as a Senior Marketing Project Manager at the Institute for Integrative Nutrition, an online school that certifies health coaches. This was her first exposure to the power of non-traditional education, and she saw its life-changing capacity first-hand. Jane is a graduate of Wake Forest University down south, but is a New Yorker who loves staying active and finding ways to get her hands dirty.
Nathan is passionate about non-traditional education, taking tools learned in the classroom and implementing them in real world experiences.
Nathan is a community builder who previously built bilingual English/Spanish communities for over five years at a language events start-up company in both Buenos Aires and Madrid. Nathan started with Metis helping build their technology community in Chicago, where he lives. He is now building on Metis' already established nationwide network, engaging with the technology community one event at a time. Nathan is a Louisiana State University graduate whose passion is traveling the world.
Grace is passionate about building creative digital marketing campaigns that catch people’s attention and bring results.
Grace comes to Metis with an extensive background in digital marketing and content management. She is passionate about developing comprehensive brand experiences and digital marketing campaigns to successfully engage audiences and establish long-term growth. Grace has her BA in Mass Communication with a concentration in Journalism and Media Studies from the University of South Florida and brings over 5 years of industry experience working with a wide range of B2C and B2B brands. In her spare time, Grace can be found traveling to new cities, eating local cuisines, and spending time with her boyfriend and family in Tampa, Florida.
Alex is a team-oriented software engineer who enjoys tackling new and interesting problems head-on.
Alex has multiple years of experience building large-scale web and mobile applications for startups in the DC and NY regions. Prior to joining Metis, Alex led on numerous projects at Blackbook and Mobile Posse, creating and maintaining websites that reached tens of millions a day. Most recently, Alex was a consultant in the NYC area helping small-scale organizations establish proper architecture and product management for long-term growth. Outside of work, he enjoys finding the best food spots, running, swimming, and old-school video games.