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Center for Data, Mathematical, and Computational Sciences

DMC Students meet with Mike Marusic, President and CEO of Sharp Imaging and Information Company of America

Thursday, October 19, 2023

Students from the Computer Science and Data Science clubs met with Mike Marusic, the CEO of Sharp, following his Presidential Speaker Series talk. This provided Ramapo students with the unique experience of engaging in a small group discussion with the chief executive of a major corporation. Mr. Marusic emphasized the importance of having a strong work ethic and investing time in building a professional network. “I learned that networking on LinkedIn is very important as a student,” said Computer Science Club president Daniel Rajakumar ’26. Students were given the opportunity to ask Mr. Marusic anything, such as what it’s like to work as a CEO, career advice, predictions of future trends in the job market, and more. Data Science Club faculty advisor Dr. Debbie Yuster adds, “Our students had great questions, and Mr. Marusic’s answers were very enlightening. One of the secrets to his success has been taking risks, such as moving between roles in completely new areas of the company. It was amazing for our students to have the opportunity to chat with and learn from such an important leader in business.”

Categories: Uncategorized


Congratulations to the Data Science Club - New Club of the Year!

The Ramapo College SGA recognized the Data Science Club with its 2023 “New Club of the Year” award! The club had a great first year, discussing topics such as web scraping, natural language processing, agile software development, and more. They also held social activities, a scavenger hunt, and a “Bad Graph of the Week” series on data visualization.

Congratulations to the Data Science Club membership and a big thank you to the executive board: Founding President Thomas Ortega, Vice President Zainab Makhdum, Secretary Ankit Kafle, and Treasurer Merit Kayastha. Thanks also to the club’s faculty advisor, Prof. Debbie Yuster.

Interested in joining one of the DMC Student clubs? Take a look at the membership and get in touch with one of the club officers or the club’s faculty advisor today!

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Bytes & Bites: Dinner and Data with Industry Professionals

Thursday, April 20, 3:30 PM – 6:30 PM (Alumni Lounges)

Please join us for sessions with Jane Riff, Product Manager, Business Intelligence & Advanced Analytics at KPMG and Peter Podolski, Senior Data Scientist at UPS

These sessions will focus on discussing the Capabilities of a Data Science Center of Excellence and on Theory, Practice and Pragmatism in Enterprise Data and Computer Science. This is a 3 part event, with a dinner for attendees served in between the 2 lectures for an opportunity for students to mingle with presenters and to informally discuss topics relating to the presentations.

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Event Schedule:

    • 3:30 PM – 4:30 PM: Presentation on Capabilities of a Data Science Center of Excellence by Jane Riff, KPMG
    • 4:30 PM – 5:30 PM: Dinner and mingle with DMC students
    • 5:30 – 6:30 PM: Presentation on Theory, Practice, and Pragmatism in Enterprise Data and Computer Science by Peter Podolski, UPS

Categories: Data Science, Lecture Series


Data in the Music Industry

Tuesday, April 4, 5:00 PM – 6:30 PM – SC-158 (Alumni Lounges)

Please join us for a talk by MSDS Alum Keith Osani, VP of Global Technology Data & Analytics at Sony Music!

This session will discuss the type of data available to music companies from digital platforms such as Spotify, Apple Music, Amazon, YouTube, TikTok and more. We will also explore the increasing volumes of data and the data engineering required to handle it all. Insight will also be given into the tools that data analysts are using to access the data and what types of analysis they are performing.

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Categories: Data Science, Lecture Series, MSDS


Decoding Data Science: A secret recipe for success

Thursday, March 30, 2023 7-8pm – ASB 323

Please join us for a DMC Lecture Series event: Decoding Data Science: A secret recipe for success, given by Dr. Kanad Basu, Data Science Leader & Applied Mathematician!

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Abstract of talk:
Data Science has completely transformed all major business sectors such as IT, Banking, Healthcare, Entertainment, Sports & much more. In order to make better & smarter decisions, businesses all over the world have long gathered & analyzed data. The global data science platform market was worth US $ 3.93 billion in 2019 and US $ 4.89 billion in 2020. From 2020 to 2027, it is predicted that the Data Science market will increase at a compound annual rate of 26.9 percent. There has never been a better time to study analytics & data science and contribute to this exciting field.

In this talk Kanad will share his transition journey, lessons picked up along the way, the skills one must develop for being a successful data scientist and how to prepare & market yourself for the job market.

About the author:
Kanad Basu, an interdisciplinary scientist who has 18+ years of analytics and data science experience spanning across academia and industry. Kanad holds the prestigious “Professor of Practice” position at Thunderbird School of Global Management, Arizona State University. He also led a market research data science team at Medallia that focuses on building a consumer behavioral intelligence and benchmarking platform that combines millions of consumer activities to allow businesses to understand where, how, and why consumers spend their time and money. Before Medallia, he led the computer vision data science team at Covisus where he and his team implemented state of the art computer vision algorithms to keep our nation safe by securing supply chains, protecting global compliance for pharmaceutical and medical industries and aiding brands in the prevention of product tampering.

Kanad holds a PhD in Applied & Computational Mathematics, has multiple publications, patents & book chapters around big data analytics and statistical applications in the field of Mathematical Biology & Mathematical Finance. Kanad is a frequent speaker at national & international conferences in AI & Data Science.

Categories: Data Science, Lecture Series, MSCS, MSDS


Ramapo College DMC - Community College Day

Tuesday, April 18, 2023, 3:00-7:00pm
505 Ramapo Valley Road, Mahwah NJ 07430

  • Learn about transfer pathways to complete your BS degree at Ramapo College.
  • Earn your MS degree in just one additional year as part of our 4+1 programs in Data Science, Applied Mathematics and Computer Science.
  • Come for a campus tour, meet our faculty, and stay for our evening fair, featuring keynote speaker Dr. Luke DuBois (NYU), followed by a student research poster showcase.

Click here for more!

Categories: Uncategorized


Save the date! 2023 DMC Fair - April 18th

Center for Data, Mathematical, and Computational Sciences Fair - April 5, 2022

Joint event with the Music Program

Date/Time: Tuesday, 4/18/23, 5-7 pm

Location: Ramapo College, Trustees Pavilion

Join us for the Data, Mathematical, and Computational Sciences (DMC) Fair on April 18th, 2023. This year’s DMC Fair is a joint event with Ramapo’s Master of Fine Arts in Creative Music Technology program. This event will feature keynote speaker Dr. R. Luke DuBois, Associate Professor and Director of Research, Integrated Design & Media at New York University. Here is a link to Dr. DuBois’ TED talk, which weaves information from a multitude of sources into art and music exploring the tensions between algorithms, portraiture, and temporal space.

Description of Talk: For the last twenty-five years Dr. DuBois has been making music and art that comment on the intersection of 21st century culture and our obsession with the quantification of our world. These projects sit somewhere in between portraiture and composition, in that they leverage media, information, algorithms, and emotion to invoke the big picture narratives behind this century of data.

About the Speaker: R. Luke DuBois is a composer, artist, performer, designer, and software engineer who explores the
temporal, verbal, and visual structures of cultural and personal ephemera. He holds a doctorate in music
composition from Columbia University, and is the co-author of Jitter, a software suite for the real-time
manipulation of matrix data developed by San Francisco-based software company Cycling’74; he is a
regular contributor to other toolkits for creative coding, including p5.js and RTCmix. He is the research
director of the IDM program at NYU Tandon, and was a founding co-director of the NYU Ability Project.
Luke’s research interests range from inclusive design to cyber-physical systems to telepresent
collaboration. He works across many disciplines and has collaborated with NYU faculty in departments
ranging from Computer Science to Occupational Therapy, and teaches in a triple appointment between
IDM at NYU Tandon and the programs in Music Technology at NYU Steinhardt and ITP/IMA at NYU Tisch.
He is currently a co-investigator on multiple NSF-funded projects, including SONYC, a multi-year
investigation around noise pollution in New York City; and the NYU Holodeck, a research platform for
investigating what happens when VR, motion capture, and telecommunication infrastructure reach the
level of everyday use. Finally, Luke designs, builds, and restores analog and hybrid analog/digital
modular synthesizers in the audio lab, making open-source designs for creative signal processing.

Following the keynote speech, attendees can view posters showcasing Ramapo students’ research projects in Data, Mathematical, Computational Sciences, and Creative Music Technology. Attendees will be able to network with Ramapo students and faculty as well as industry professionals. Awards will be given for the best posters.

This event was supported by a grant from the Ramapo College Foundation.

Register Now

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Maximum Likelihood Estimation for Discretely Observed Multivariate Vasicek Processes

Tuesday, February 21, 2023 – Via WebEx

Please join us for a DMC Lecture Series event: Maximum Likelihood Estimation for Discretely Observed Multivariate Vasicek Processes, given by Dr. Michael Pokojovy, Assistant Professor, Department of Mathematical Sciences, PhD Program in Data Science, PhD Program in Computational Science, The University of Texas at El Paso (UTEP)!

This talk will discuss analyzing multiple zero-coupon bonds simultaneously to forecast future short rate dynamics. Those forecasts can play important roles in risk management, portfolio optimization, and other applications.

Because of low correlation with other asset classes, bonds play major roles in portfolio diversification efforts. A pure discount or a zero-coupon bond is a contract that does not involve intermediate interest payments but is traded at a deep discount, rendering yields at maturity when redeemed at full face value. As investment funds can create robust diversified portfolios with bonds, it is imperative that multiple bonds be analyzed simultaneously. The classical Vasicek model studies individual zero-coupon bonds and assumes the instantaneous interest rate follows a mean reverting process. In this talk, we consider an extension of the original Vasicek model to multiple zero-coupon bonds. The resulting coupled model is given by a stochastic differential equation driven by a p-dimensional white noise process. Given a set of observations over an equispaced time grid, our goal is to calibrate the system and forecast future short rate dynamics. Those forecasts can play important roles in risk management, portfolio optimization, and other applications. This is joint work with Ebenezer Nkum and Thomas M. Fullerton (UTEP).

Michael Pokojovy is an Assistant Professor of Data Science and Statistics. He holds a Ph.D. and a Dipl.-Math. degree in Mathematical Sciences, both from the University of Konstanz, Germany. Prior to his current appointment at UTEP, Dr. Pokojovy has held several postdoctoral positions in Europe and the US. His research interests include Statistical & Machine Learning, Big Data Analytics, Scientific Computing, etc. In addition to numerous theoretical and methodological developments, he has a track record of collaborative research in statistical process control, quantitative finance, engineering, biomedical sciences, rational mechanics, etc. He has authored and co-authored a number of publications in a variety of professional journals. Dr. Pokojovy has also mentored and advised numerous undergraduate, graduate and doctoral students as well as postdoctoral scholars who are now successfully pursuing various exciting careers in industry or academia.

This talk was supported by a grant from the Ramapo College Foundation.

WebEx information will be provided upon registration

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Categories: Data Science, Lecture Series, MSCS, MSDS


Ramapo College and CCM Sign New Jersey’s First Data Science Transfer Agreement!

Ramapo College of New Jersey and County College of Morris (CCM) have partnered to create pathways for aspiring data scientists to earn a masters in data science in as little as five years. Through the 2+2+1 agreement, students can begin their education at CCM to earn their associate degree and then seamlessly transfer to Ramapo to earn their bachelors degree and then a masters in data science if they wish. Thomas Ortega, a graduate of Morris Hills High School and CCM, is in his fourth year in the 2+2+1 program and serves as the founder and President of the Ramapo College Data Science Club. Ramapo’s Master of Science in Data Science program is nationally ranked a Top 30 Masters program by Fortune Magazine, making it the #1 graduate data science program in New Jersey. By taking a number of graduate courses as an undergraduate at Ramapo, the masters can be completed in one year, allowing students to enjoy significant savings on their higher education. CCM now has more than 170 transfer agreements to ease the process of earning an associate and then a bachelors degree.

Read more here!

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Data Storytelling: The Secret to Delivering Business Impact with Analytics

Thursday, January 26, 2023 – 7-8pm – Location ASB 323

Please join us for a DMC Lecture Series event on Data Storytelling: The Secret to Delivering Business Impact with Analytics, given by Ganes Kesari, the Co-founder and Chief Decision Scientist at Gramener!

Did you know that over 50% of analytics projects fail due to bad data storytelling? Organizations invest heavily in hiring data science experts, buying expensive licenses, and setting up analytics processes. However, without the right data visualization, all this effort will go to waste. Stories have the power to engage people and inspire them to action. This session will introduce you to the concept of data storytelling. It will reveal the 4 steps to mastering visual storytelling with data using exciting industry examples.

Takeaways:

  • Understand the top challenges in converting data into actionable business decisions
  • Learn the 4-steps to building powerful data stories using real-world case studies
  • Find out how data visualization can drive decision-making at organizations

Ganes Kesari is the Co-founder and Chief Decision Scientist at  Gramener , a data science company that helps organizations present data insights as stories. He advises executives on data-driven leadership and helps organizations adopt a data culture. Ganes is a TEDx speaker and Forbes Contributor. Find his latest work here: gkesari.com.

This talk was supported by a grant from the Ramapo College Foundation.

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Categories: Data Science, Lecture Series, MSCS, MSDS