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.
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.
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.
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.
Paul, a Metis data science instructor, enjoys tackling open-ended problems a little outside of his comfort zone.
Paul comes to data science as a physics convert. He studied physics and mathematics at MIT before taking a job with a government intelligence contractor. There he entered the realm of data science doing groundbreaking work with large scale text analytics via a technology called Latent Semantic Indexing (LSI). In this context, LSI allowed analysts to tease out deep yet subtle relationships between entities, concepts, etc. from hundreds of millions of raw text documents. After receiving a Master's in Machine Learning, he pursued a more mainstream data science role and spent the last few years leading a team building models on user and advertising data for over nearly a billion users with Hadoop and AWS. During this time, he also taught night courses for professionals aspiring to be data scientists. Paul is a huge sports fan, and also loves travel and learning most anything new.
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.
Andrew is passionate about helping people make rational decisions and building cool data products.
Andrew comes to us from LinkedIn, where he worked as a data scientist, on projects ranging from executive dashboarding, education, inferring profiles and skills standardization. He is passionate about helping people make rational decisions and building cool data products. Prior to that he worked on fraud modelling at IMVU (the lean startup) and studied applied physics at Cornell. Andrew grew up on a sheep farm in North Idaho. He loves snowboarding, traveling, scotch and reading about all kinds of nerdy topics.
Brian is passionate about using data science to improve healthcare and enrich people's lives.
Brian comes to Metis from PCCI where he led a team of data scientists building real-time predictive models for clinical decision support. Before that he was Chief Mathematician at Guardian Analytics, where he pioneered the development of fraud detection algorithms based on Bayesian behavioral modeling. He has an A.B. from Harvard and a Ph.D. from Brown, and has held teaching and research positions at the University of Washington, UC-Berkeley, and the American University in Cairo. He enjoys biking, swimming, traveling, and poker.
David has a penchant for solving novel problems with machine learning and revels in sharing knowledge with others.
David comes to Metis from HAVI, a world-renowned supply chain and logistics company. He developed the machine learning back-end for their SaaS product and provided training in Python, algorithms, and Apache Spark. Prior to that, David worked at a research lab for the Department of Defense where he led multiple facets of a big data cybersecurity project. David holds a Master's degree in Electrical Engineering from Boston University, having specialized in optimization methods. His industry experience spans defense, education, healthcare, insurance, logistics, marketing, and supply chain.
Michelle is passionate about the interplay between data science, creativity, and problem solving.
Michelle comes to Metis from the National Cancer Institute, where she developed computational methods that dramatically increased experimental throughput. She has also been a consultant for The Boston Consulting Group where she advised pharmaceutical and financial services clients on strategic growth and organizational streamlining. Michelle has a Ph.D. in Molecular Biophysics & Biochemistry from Yale University and completed a postdoctoral fellowship at Columbia University where she elucidated mechanisms of the cancer pathway. Michelle has trained both students and colleagues in classroom and informal settings in data analysis, Python, and scientific methods. In her spare time, Michelle enjoys running, wine, and watching college basketball.
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.
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.
Lingqiang loves extracting meaningful patterns from unstructured data and telling stories them.
Before coming to Metis, Lingqiang got her PhD in Computational Neuroscience at Boston University, building machine learning models to decode different attentional states of the brain from neuroimaging data. She also studied the connectivity patterns of cortical nodes when the brain is at rest, a technique that sheds light into early detection of traumatic brain injuries (read: war veterans and football players etc). She later worked at an e-commerce company building search and recommendation tools. In her spare time, Lingqiang likes mystery novels and all things Sherlock. Her favorite food is the spicy cumin lamb skewers (yangrou chuan), a quintessential street food in northern China.
Sehreen envisions a workforce where people's passions and talents are optimally aligned with business needs.
Sehreen started her career as a diplomat with the U.S. Department of State where she worked in D.C., France, Nepal, and the UAE on education and entrepreneurship programs. She worked on the team that created the first ever set of digital diplomacy tools and was recognized by the White House for her work. She transitioned into edtech in 2012 when she joined Noodle.com as head of business development. Since then, she founded EdTechWomen which expanded into 13 chapters in one year and was awarded SXSWedu's first Change Maker award. She pursued a B.A. in Development Studies at Brown University and an Ed.M in Education Policy at Harvard University because of her passion for human development and closing the skills gap. In her spare time, she plays basketball and avidly avoids cooking.
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.
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.
Megan is committed to helping people find careers they love.
Megan comes to Metis with a Bachelor's degree in Political Science from Pepperdine University and 6+ years of full lifecycle technical recruiting experience. She has successfully coached hundreds of people through their job search including: creating a personalized career strategy, identifying open job opportunities, providing introductions, preparing candidates for interviews, and navigating them through the salary negotiation process. Megan is passionate about helping people identify the right career choices and jobs they love.
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.
Tiffany is a certified coach who specializes in career exploration and career transition.
Tiffany comes to Metis with a Bachelor of Arts in Broadcast Journalism, a Master of Arts in Psychology, and an Associate Certified Coach credential from the International Coach Federation. She has spent 14 years as a video editor before becoming a software trainer that traveled across the United States and Australia, and 5 years developing workshops focused on job search and career exploration. In addition to studying how we can be our best selves, Tiffany is excited to help others navigate transitions in projects, roles, and employment so that they can live and work with passion and purpose.
Laura likes using technology for solving problems (and everything, really).
Laura, a DevBootcamp graduate, comes to Metis with a Bachelor’s degree in Computer Engineering from ITESM and experience in a wide set of industries, from tech to the energy sector. She spends her time at Metis building products, fussing over the website, and trying to make people’s lives better with tech. She is very passionate about diversity and inclusion; she founded and co-directed the Women Who Code chapter of Boston for 2+ years, and has recently co-founded, the first Queer in Data Science group in NYC. Laura greatly enjoys science fiction and hopes to one day reach the Singularity and finally accomplish her dream of becoming a cyborg.
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.
Heather thrives in using her skills and expertise in building amazing cultures and experiences for the people she has the pleasure of working with.
Heather previously had the opportunity to work for Bigcommerce cultivating both the Austin and San Francisco offices. Heather has a Bachelor of Arts in Aerospace Administration and Operations from Oklahoma State University where she merged her passion for aviation with business. When she is not at work you can find her taking a stroll on the beach or hiking in the bay with her Golden Retriever and English Bulldog.
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.
Using written and visual communication as pillars, Emily works to broadcast the Metis experience and news of the data science industry through editorial efforts and social media.
Emily has worked in digital content planning and creation for media agencies and non-profit organizations and has a Master of Arts degree in online journalism. She’s enthusiastic about current events, technology, sports, books, burritos, and the digital media landscape.
Nathan is passionate about non-traditional education, taking tools learned in the classroom and implementing them in real world experiences.
Nathan previously worked for Kaplan International as their Regional Activities Manager and Student Services Coordinator helping international students achieve their English language goals. Before Kaplan, Nathan worked for a language events company and built bilingual communities through events for over five years in both Spain and Argentina. In his spare time Nathan enjoys traveling, attending cultural events, reading and being outside when Chicago's weather permits it.
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.
Michelle, General Manager at Metis, leverages technology and neuroscience to identify and execute cutting-edge data science ecosystems, and links practitioners, researchers, and industry for "the next big thing".
Michelle is an active advisor to hardware and software companies mapping neuroscience concepts to mobile handset, datacenter, and artificial intelligence applications, and sought after consultant for human research protocols. Prior to Metis, Michelle was a builder and leader of high-stakes research programs in neuroscience and molecular discovery. She was awarded grants and executed a partnership with the Smithsonian while earning her BA and MA in Integrative Biology from UC Berkeley. Michelle found a passion for disruptive education and data science as a data architect and product manager at Hack Reactor, where she engineered novel reporting tools and owned data analytics for a national network of coding bootcamps. She also participated in The Data Incubator's data science foundations program. In her spare time she enjoys conducting virtual reality experiments and hiking.
Liz is a guardian, promoter, and protector of culture, with a passion for positive workplace environments and helping people achieve their goals.
Prior to joining Metis, Liz had the opportunity to work for Bigcommerce in Austin and Mixpo in Seattle, promoting a positive, vibrant, and collaborative culture throughout both offices. After graduating from Texas State University, Liz went on to live in work in Germany for 2 years, immersing herself in Bavarian culture and learning German. When not working, Liz is snuggling with her 2 dogs on the couch, camping in the Olympic National Forest, or planning adventures to far away places.
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.
Krishna comes to Metis from the advertising world having worked in a series of startups enabling online and television advertising.
As chief scientist at Simulmedia, Krishna led a team of data scientists that used big data to improve targeting, measurement and advance the state of programmatic buying in television advertising. Krishna has a Masters in Physics and another in Computer Science and is excited about bringing his startup, data science and big data experiences to the classroom.
Taylan is an industrial engineer, mathematician and a data scientist with a passion for teaching and using data to solve real world problems.
Taylan comes to Metis from Versium Analytics, where he led the data science team, involved in various projects such as fraud detection, churn prediction and building an automated self-service predictive analytics/machine learning platform. He has a Ph.D. in Algebraic Geometry from the Mathematics department at the University of Southern California. He has also worked and co-authored scientific papers on problems related to oceanography and biology. He enjoys learning, math puzzles, video games and watching football.
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.