Jonathan Gross retires after 47 years of teaching and research at Columbia

j-gross-240x364After 47 years of teaching and research at Columbia, Jonathan Gross retired last semester, following a highly active career that allowed him to indulge his lifelong love of mathematics while doing pioneering work in graph theory, three-dimensional topology, shape modeling, and sociological modeling.
Professor Gross’s main specialty is topological graph theory, a math subdiscipline straddling combinatorics and geometry and marked by a strong visual component. In several of his 17 books and in over 100 papers and journal articles, Gross expanded topological graph theory by initiating new programs of investigation and by developing new methods for them, often collaborating with Thomas W. Tucker. Together Gross and Tucker authored the influential and comprehensive Topological Graph Theory, which at its release in 1987 represented the state-of-the-art in graph theory. Their objective in writing that book was to create a single source that would provide someone new to topological graph theory with sufficient background to move as quickly as possible into frontier research. It remains a standard reference today.
Gross invented the voltage graph construction in 1973, which is the basis for a concise algebraic specification of infinite families of large graphs and also of placements of such graphs on increasingly complicated surfaces. Gross’s joint work with Tucker on its generalization, published in 1977, includes some of the most frequently cited publications in topological graph theory. The name voltage graph plays on the fact that one of the key properties that sometimes occurs in the specification of placements in surfaces is an algebraic generalization of the Kirchhoff voltage law, which is a property of electrical circuits well known to electrical engineers and physicists. Another paper by Gross and Tucker explains how the voltage graph construction unifies dozens of special cases that occur in the solution of the Heawood map-coloring problem.
Topological graph theory has connections to many other areas of mathematics, including combinatorial and probabilistic models, as well as to knot theory. Since 2009, Gross has been working with Jianer Chen, one of his former Columbia PhD students, to apply topological graph theory to the computer graphics area called shape modeling. Another area that Gross tackled and examined for several years is behavioral and cultural rule systems, for which he developed information-theoretic models and measurement techniques. Working with the eminent British anthropologist Dame Mary Douglas, Gross demonstrated how such high-powered tools can be harnessed to better understand human social behavior. In his book, Measuring Culture, Gross and his co-author Steve Rayner describe how to measure information content in societal patterns, making it possible to obtain objective comparisons of different target populations.
For his research, Gross has earned multiple honors and awards: an Alfred P. Sloan Fellowship, an IBM Postdoctoral Fellowship, and numerous research grants from the Office of Naval Research, the National Science Foundation, the Russell Sage Foundation, and, most recently, from the Simons Foundation.
Gross began his formal mathematics education as an undergraduate at MIT, graduating in 1964. From MIT, he went to Dartmouth College where his PhD thesis on three-dimensional topology (1968) solved a published problem of Fields Medalist John Milnor. After graduate school, he joined the Mathematics Department at Princeton University, working with Ralph Fox, renowned for his work on knot theory and three-dimensional topology.
Though primarily a mathematician, Gross had an early interest in computers, and it was in computer science that he felt that his teaching would have greater impact. He has believed since his high school days that computing was for everybody, and his earliest books are concerned with computer programming. It was to set up a computer science curriculum for arts and science students that he was invited in 1969 to join the Statistics Department at Columbia. His first class in introductory computer programming at Columbia had eight students. Within a few years, 300 students in that same course filled the seats in the large lecture room in Havemeyer. The university expanded the computer science contingent that he headed within Statistics one by one, to five faculty members.
In the late 1960s and the 1970s, computer science was also taught by a small nucleus of professors of Electrical Engineering. In 1978-79, while Gross was Acting Chair of Statistics, Dean Peter Likins of SEAS committed funds from a substantial gift to SEAS to found a separate Computer Science Department, which both contingents agreed to join. Merging the computer science course offerings from Statistics and from Electrical Engineering was among the first initiatives that Gross orchestrated for the new department. He strongly encouraged faculty to balance their teaching assignments between undergraduate and graduate levels. His role in starting Columbia’s computer science department was fundamental; as the department grew over the years—it now numbers 44 professors and 5 lecturers—Gross was the organizer of department-wide efforts to keep the academic curriculum at the educational forefront. Over the years, he became the keeper of institutional memory.

“Not only did we have no cell-phones or personal computers when I was young, most families did not have a television before 1950. We would start being nice to the rich kid around Thursday, in the hope that he would invite us to watch television at his house over the weekend.”

Mathematician, researcher, author, and computer scientist, Gross was also an instructor to thousands of Columbia students. He taught discrete mathematics, graph theory, and combinatorial theory, lecturing with humor and with what he called “enhancement,” short historic anecdotes from science and mathematics as well as from his own mathematical career and personal history. “Enhancements” were as integral to his courses as his meticulously put-together notes, often giving students insight into a different time and place.
He proved popular with students, who variously described him as devoted to his work, brilliant, idiosyncratic, and highly quotable.

When I say a baby-level proof, that’s just how mathematicians talk.
I don’t actually know any babies who can do algebraic topology.

Negativebplusorminusthesquarerootofbsquaredminusfouracovertwoa.
You have to say it very quickly, or you’ll get it wrong.

I have no idea what liquid soap will make your dishes sparkle,
but I recommend liquid Joy for making high-quality knotted soap bubbles with interesting mathematical properties.

– From a collection of quotes compiled by students
For his excellent teaching, Gross received two SEAS awards; in 1994 he received as well the career Great Teacher Award from the Society of Columbia Graduates.
In late career and retirement, Gross continues his research work with his co-authors around the world. Each year he produces numerous journal papers in topological graph theory, and he continues to travel to national and international mathematics meeting to give talks about his research and to chair sessions in his specialty. One math friend has joked, “Jonathan, you are in danger of flunking retirement.” To this, Gross responds that math is too much fun to stop and that he intends to flunk retirement for years to come.
His conclusion of active service at Columbia was marked in December with a dinner amidst remembrances by colleagues and family. Among those who shared their personal stories of Professor Gross, it was perhaps his daughter Rena who most closely articulated how much mathematics infused her father’s life when she recounted how, as a child and misbehaving, her father would threaten “Stop, or I’ll map you into the complex plane.”

Julia Hirschberg and David Blei elected 2015 ACM Fellows

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Julia Hirschberg Photo: Jeffrey Schifman

Two professors in the Computer Science department at Columbia University have been elected 2015 Association for Computing Machinery (ACM) Fellows: Julia Hirschberg for “contributions to spoken language processing,” and David Blei, for “contributions to the theory and practice of probabilistic topic modeling and Bayesian machine learning.” The ACM fellowship grade recognizes the top 1% of ACM members for their outstanding accomplishments in computing and information technology or outstanding service to ACM and the larger computing community. This year, 42 have been named ACM Fellows.

Julia Hirschberg is the Percy K. and Vida L. W. Hudson Professor of Computer Science and Chair of the Computer Science Department. She is also a member of the Data Science Institute. Her main area of research is computational linguistics, with a focus on the relationship between intonation and discourse. Her current projects include deceptive speech; spoken dialogue systems; entrainment in dialogue; speech synthesis; speech search in low-resource languages; and hedging behaviors.

“I’m deeply honored to be joining this wonderful group of computer scientists,” says Hirschberg. “The ACM has done a wonderful job of supporting and promoting computer science for many years.”

Upon receiving her PhD in Computer and Information Science from the University of Pennsylvania, Hirschberg went to work at AT&T Bell Laboratories, where in the 1980s and 1990s she pioneered techniques in text analysis for prosody assignment in text-to-speech synthesis, developing corpus-based statistical models that incorporate syntactic and discourse information, models that are in general use today. She joined Columbia University faculty in 2002 as a Professor in the Department of Computer Science and has served as department chair since 2012.
As of November 2015, her publications have been cited 14,161 times, and she has an h-index of 60.
Hirschberg serves on numerous technical boards and editorial committees, including the IEEE Speech and Language Processing Technical Committee and the board of CRA-W. Previously she served as editor-in-chief of Computational Linguistics and co-editor-in-chief of Speech Communication and was on the Executive Board of the Association for Computational Linguistics (ACL); on the Executive Board of the North American ACL; on the CRA Board of Directors; on the AAAI Council; on the Permanent Council of International Conference on Spoken Language Processing (ICSLP); and on the board of the International Speech Communication Association (ISCA). She is also noted for her leadership in promoting diversity, both at AT&T and Columbia, and broadening participation in computing.
Among many honors, she is a fellow of the Association for Computational Linguistics (2011), of the International Speech Communication Association (2008), of the Association for the Advancement of Artificial Intelligence (1994); and she is a recipient of the IEEE James L. Flanagan Speech and Audio Processing Award (2011) and the ISCA Medal for Scientific Achievement (2011). In 2007, she received an Honorary Doctorate from the Royal Institute of Technology, Stockholm, and in 2014 was elected to the American Philosophical Society.
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David Blei
David Blei is a Professor of Computer Science and Statistics and a member of the Data Science Institute. He is a leading researcher in the field of probabilistic statistical machine learning and topic models, having co-authored (with Michael I. Jordan and Andrew Y. Ng) the seminal paper on latent Dirichlet allocation (LDA), the standard algorithm for discovering the abstract “topics” that occur in a collection of documents. LDA has become an important statistical tool and is used to capture interpretable patterns in a range of applications, including document summarization, indexing, genomics, and image database analysis.
In addition to continuing work on topic models, Blei develops models of social networks, music and audio, images and computer vision, and neuroscience and brain activity. Recent work with students has resulted in efficient algorithms to fit a wide class of statistical models to massive data sets, enlarging the scale of data that can be analyzed using sophisticated methods.
“I am deeply honored to have been elected an ACM fellow,” says Blei. “The ACM is a wonderful organization—for many years it has nurtured the fantastic intellectual and community spirit of computer science.”
Blei’s research has earned him a Sloan Fellowship (2010), an Office of Naval Research Young Investigator Award (2011), the NSF Presidential Early Career Award for Scientists and Engineers (2011), the Blavatnik Faculty Award (2013), and the ACM-Infosys Foundation Award (2013). He is the author and co-author of over 80 research papers.
Before coming to Columbia in 2014, Blei was an Associate Professor of Computer Science at Princeton University. He received his PhD in Computer Science from UC Berkeley and his BSc in Computer Science and Mathematics from Brown University.
Posted 12/14/2015