Microsoft Research Head Jeannette Wing to Lead Columbia Data Science Institute

May 1, 2017

NEW YORK, May 1, 2017 — Columbia University President Lee C. Bollinger today announced that Jeannette Wing, currently corporate vice president of Microsoft Research, will become the Avanessians Director of Columbia’s Data Science Institute and Professor of Computer Science.

“Jeannette Wing is a pioneering figure in the world of computer science research and education, and her addition to the University’s academic leadership team reflects the continuing expansion of our work in this field,” said Bollinger. “Our Data Science Institute is indispensable to virtually every scholarly initiative at the University dedicated to addressing a societal problem.  The benefits to be derived from Jeannette’s leadership and her presence here will be immense.”

Wing spent the last four years leading a global network of research labs extending from Boston to Bangalore as a corporate vice president of Microsoft Research.  A longtime advocate of interdisciplinary and collaborative research, Wing will continue to expand the Data Science Institute’s impact on research and education in a variety of ways, from precision medicine and public policy, to the humanities and the professions.  She will take the reins of this Columbia-wide initiative, reporting directly to President Bollinger, in early July.

“I am thrilled to be joining Columbia and returning to my academic roots, working with colleagues to help the university fulfill its commitment to solving major challenges in our world,” she said.  “Through rapid advances in computer science, statistics and operations research, we are just beginning to explore the power of data-driven discovery and decision-making.  At the same time, the automated collection and analysis of personal data raise important new ethical concerns.  Columbia is ideally positioned to lead this exploration.”

Launched in 2012, the Data Science Institute has grown from its base at Columbia Engineeringto include more than 200 affiliated researchers across the university. Under its founding Executive Director, Kathleen McKeown, and Associate Director, Patricia Culligan, the Institute has emerged as a leader in both the foundational and interdisciplinary applications of data science. Columbia became one of the first universities to offer a master’s degree in data science and develop specific courses in data science now offered throughout the university.

President Bollinger and Columbia Engineering Dean Mary Boyce saluted McKeown and Culligan for their outstanding leadership. McKeown, the Henry and Gertrude Rothschild Professor of Computer Science, and Culligan, the Robert A.W. and Christine S. Carleton Professor of Civil Engineering, will return to their full-time teaching and research positions at the School and to their innovative interdisciplinary work.  “So many of us across the University are indebted to Kathy and Trish for their profound contributions to the initial conception and formative development of the Data Science Institute,” Bollinger said.  “They and their many dedicated colleagues are responsible for creating the foundation on which we continue to build.”

Before joining Microsoft in 2013, Wing held leadership positions at Carnegie Mellon University and the National Science Foundation.  From 2007 to 2010, she oversaw the National Science Foundation’s computer and information science and engineering directorate, developing programs and setting funding priorities for research and education in academia. One of her initiatives, Expeditions in Computing, invited researchers to pursue big, risky bets and served as a model for a similar program she launched at Microsoft.  Also during her time at NSF, she promoted an effort to design an advanced placement course focusing on computational thinking for the College Board, which later became a model for the nation’s high schools.

Wing led Carnegie Mellon’s Computer Science Department before and after her time at NSF, and served for five years as Carnegie Mellon’s associate dean for Academic Affairs, overseeing educational programs offered by the university’s School of Computer Science. She received her undergraduate, master’s and doctoral degrees from the Massachusetts Institute of Technology.

Wing’s areas of research expertise are in security and privacy, formal methods, programming languages, and distributed and concurrent systems.  She is best known for defining mathematical logics and models to reason about correctness properties of computing systems.  Through her research, Wing invents ways to ensure that the computing systems we use daily are reliable, safe, and secure.

Anticipating the rise of “Big Data,” Wing was an early advocate for the influence of computer science research and education and the need to inform other disciplines with this learning.  In the wake of the dot-com bust and falling enrollments in computer science departments, her influential 2006 essay, Computational Thinking, helped reinvigorate computer science research and teaching.

Wing is on the board of the Institute for Pure and Applied Mathematics at UCLA and on the steering committee for DARPA’s Information Science and Technology Board.  She has served as chair or member of dozens of academic, industry, government and international advisory and scholarly journal board.  Her work at NSF, and in promoting the value of computational thinking,has been recognized with distinguished service awards from the Computing Research Association and Association for Computing Machinery (ACM).  She is a fellow of the American Academy of Arts and Sciences, American Associationfor the Advancement of Science, ACM and the Institute of Electrical and Electronic Engineers.

She will lead a Columbia Data Science Institute that, since its founding with seed funding from New York City’s Applied Sciences NYC initiative, has worked to foster innovation and collaboration.  The Institute works in areas where the rise of powerful algorithms and massive data has opened new opportunities and threats in fields including cybersecurity, journalism, smart cities, finance and medicine.  Through its growing Industry Affiliates program, the Institute has helped launch successful start-ups and partnered with the nation’s leading technology companies. While national and global in scope, the Institute has worked to deepen and extend Columbia’s role in ongoing efforts to develop New York City as a thriving center of the tech-driven innovation economy.

About Columbia University

Among the world’s leading research universities, Columbia University in the City of New Yorkcontinuously seeks to advance the frontiers of scholarship and foster a campus community deeply engaged in the complex issues of our time through teaching, research, patient care and public service. Founded in 1754 as King’s College, the University is today comprised of 16 undergraduate, graduate and professional schools, and four affiliated colleges and seminaries in Manhattan, and a wide array of research institutes and global centers around the world. Columbia’s Data Science Institute is one of several university initiatives helping to drive economic dynamism and technology innovation in New York and nationally through teaching, applied research and collaborations with government and industry. Others include Columbia Entrepreneurship that supports the development of new startups through programs on and off-campus, and Columbia Technology Ventures whose record of bringing innovations to market led to Columbia being named number two for tech-transfer among U.S. universities by the Milken Institute.


Source: Columbia University

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

ARM, Fujitsu Targeting Open-source Software for Power Efficiency in 2-nm Chip

July 19, 2024

Fujitsu and ARM are relying on open-source software to bring power efficiency to an air-cooled supercomputing chip that will ship in 2027. Monaka chip, which will be made using the 2-nanometer process, is based on the Read more…

SCALEing the CUDA Castle

July 18, 2024

In a previous article, HPCwire has reported on a way in which AMD can get across the CUDA moat that protects the Nvidia CUDA castle (at least for PyTorch AI projects.). Other tools have joined the CUDA castle siege. AMD Read more…

Quantum Watchers – Terrific Interview with Caltech’s John Preskill by CERN

July 17, 2024

In case you missed it, there's a fascinating interview with John Preskill, the prominent Caltech physicist and pioneering quantum computing researcher that was recently posted by CERN’s department of experimental physi Read more…

Aurora AI-Driven Atmosphere Model is 5,000x Faster Than Traditional Systems

July 16, 2024

While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to communities across the globe. As climate change is warming ocea Read more…

Researchers Say Memory Bandwidth and NVLink Speeds in Hopper Not So Simple

July 15, 2024

Researchers measured the real-world bandwidth of Nvidia's Grace Hopper superchip, with the chip-to-chip interconnect results falling well short of theoretical claims. A paper published on July 10 by researchers in the U. Read more…

Belt-Tightening in Store for Most Federal FY25 Science Budets

July 15, 2024

If it’s summer, it’s federal budgeting time, not to mention an election year as well. There’s an excellent summary of the curent state of FY25 efforts reported in AIP’s policy FYI: Science Policy News. Belt-tight Read more…

SCALEing the CUDA Castle

July 18, 2024

In a previous article, HPCwire has reported on a way in which AMD can get across the CUDA moat that protects the Nvidia CUDA castle (at least for PyTorch AI pro Read more…

Aurora AI-Driven Atmosphere Model is 5,000x Faster Than Traditional Systems

July 16, 2024

While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to com Read more…

Shutterstock 1886124835

Researchers Say Memory Bandwidth and NVLink Speeds in Hopper Not So Simple

July 15, 2024

Researchers measured the real-world bandwidth of Nvidia's Grace Hopper superchip, with the chip-to-chip interconnect results falling well short of theoretical c Read more…

Shutterstock 2203611339

NSF Issues Next Solicitation and More Detail on National Quantum Virtual Laboratory

July 10, 2024

After percolating for roughly a year, NSF has issued the next solicitation for the National Quantum Virtual Lab program — this one focused on design and imple Read more…

NCSA’s SEAS Team Keeps APACE of AlphaFold2

July 9, 2024

High-performance computing (HPC) can often be challenging for researchers to use because it requires expertise in working with large datasets, scaling the softw Read more…

Anders Jensen on Europe’s Plan for AI-optimized Supercomputers, Welcoming the UK, and More

July 8, 2024

The recent ISC24 conference in Hamburg showcased LUMI and other leadership-class supercomputers co-funded by the EuroHPC Joint Undertaking (JU), including three Read more…

Generative AI to Account for 1.5% of World’s Power Consumption by 2029

July 8, 2024

Generative AI will take on a larger chunk of the world's power consumption to keep up with the hefty hardware requirements to run applications. "AI chips repres Read more…

US Senators Propose $32 Billion in Annual AI Spending, but Critics Remain Unconvinced

July 5, 2024

Senate leader, Chuck Schumer, and three colleagues want the US government to spend at least $32 billion annually by 2026 for non-defense related AI systems.  T Read more…

Atos Outlines Plans to Get Acquired, and a Path Forward

May 21, 2024

Atos – via its subsidiary Eviden – is the second major supercomputer maker outside of HPE, while others have largely dropped out. The lack of integrators and Atos' financial turmoil have the HPC market worried. If Atos goes under, HPE will be the only major option for building large-scale systems. Read more…

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock_1687123447

Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

Intel’s Next-gen Falcon Shores Coming Out in Late 2025 

April 30, 2024

It's a long wait for customers hanging on for Intel's next-generation GPU, Falcon Shores, which will be released in late 2025.  "Then we have a rich, a very Read more…

Leading Solution Providers

Contributors

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire