News and Events

Highlighted News

HDSI Headline: Institute leadership sought for cybersecurity expertise

EdTech LogoHDSI makes headlines in EdTech, contributing cybersecurity expertise to the national magazine circulating to both K-12 and higher education audiences. The Dec. 18, 2018, posting, “Colleges Turn to AI for Cybersecurity Defense,” quotes HDSI Faculty Advisory Council member Yoav Freund on educating students about the tools they need to verify fact from fake.

Data Science freshman makes his first cloud

A word cloud of the data science facebook page prepared by Yuan GaoElevating computer code to the level of art was something University of California San Diego freshman Yuan Gao did just for fun.

In his elective Workshop in Data Science (DSC 96), Gao went above and beyond instructor expectations by designing a word cloud. A word cloud is a graphic visualization of a slice of time and place on the Internet, resembling the visual arts technique of montage but achieving the graphic design feature based on computer coding. Learn more.

HDSI Director Rajesh Gupta HeadshotHDSI Director Rajesh Gupta named AAAS Fellow

Director Rajesh Gupta has been honored by the American Association for the Advancement of Science (AAAS) as Fellow for 2018, for "distinguished contributions in design of embedded systems and hardware-software co-design, and leadership in research administration." Learn more. 


Highlighted Events

Symposium connecting statistics and data science: Beyond Big, Missing or Corrupted Data

Stock PhotoJan. 19-20, 2019: Big Data, corrupted data, missing data – how to handle it all? HDSI in its role as a data science leader is co-sponsoring a two-day symposium -- Statistics & Data Science Symposium: Beyond Big, Missing or Corrupted Data. The event will gather outstanding researchers pushing the frontiers of statistics as applied to the data. Speakers include leaders from Caltech, Facebook, Microsoft, Princeton and the U.S. Census Bureau. Focus will be on the impact of data-driven science on the field of statistics, addressing such key questions as:

  • Do algorithms even exist in these new contexts?
  • How to quantify uncertainty in scientific discoveries?
  • How to develop efficient algorithms that are robust to the complex nature of the observed data?

Sponsored by the UC San Diego Department of Math and HDSI, registration remains open for the campus-based event Jan. 19-20. Learn more about special registration and reservation options.

The advent of new technologies has created great opportunities for data-driven discoveries spanning the worlds of science and industry and impacting both equally. In the past few years, data sources and availability have greatly changed. Examples include the abundance of data related to in some way to human behavior, policy implementations, interactions with a large number of computer devices and advertising materials, electronic records. Many datasets are now coming in a range of multimodal forms typically collected as streams of information; they now present highly unstructured patterns where a single phenomenon of interest is observed through multiple types of measurement devices, with each device possibly collecting only partial information of interest. Join our distinguished speakers and assembled experts to discuss issues like how can we disentangle and yet utilize all of the complex data in order to enrich statistical algorithms and models?

The event organizers are UC San Diego researchers Jelena Bradic and Dimitris Politis

Among the invited experts: From UC San Diego, Danna Zhang and Wenxin Zhou; Alekh Agarwal, Microsoft Research; Animashree Anandkumar, Caltech; Guang Cheng, Purdue University; Jianqing Fan, Princeton University; Sudeep Srivastava, Facebook; from UC Berkeley, Bin Yu, Peng Ding and Yian Ma; Yen-Chi Chen, University of Washington; from University of Chicago, Chao Gao and Veronika Rockova; Tucker Mcelroy, Census Bureau; Stanislav Minsker, University of Southern California; Annie Qu, University of Illinois, Urbana–Champaign; Aaditya Ramdas, Carnegie Mellon University; Zhao Ren, University of Pittsburgh; Srijan Sengupta, Virginia Tech; Stefan Wager, Stanford University; Anru Zhang, University of Wisconsin-Madison; Xianyang Zhang, Texas A&M University; Yinchu Zhu, University of Oregon; and Nan Zou, University of Toronto. 

Data across disciplines: 7th International Symposium on Data Assimilation (ISDA 2019)

Jan. 21–24, 2019: This event in Kobe, Japan, will focus on the cross-cutting issues shared in broad applications of data assimilation in disciplines from geoscience to physical and biological sciences.

ISDAThe symposium aims to enhance discussions among researchers from cross- disciplinary backgrounds. Examples under discussion include: non-Gaussian and nonlinear data assimilation problems; Big Data Assimilation (BDA); high-performance computation (HPC); Uncertainty Quantification (UQ); advanced intelligence (AI) and machine learning; multi- scale and multi-component treatments; observational issues; and mathematical problems.

Application deadline is slated for October 2018, with speaker confirmation and program availability in November. Registration deadline will be in December 2018. See the ISDA website for updates and more information. 

Double Feature: An Afternoon of Applied Mathetmatics

Murray and Adylin Rosenblatt Endowed Lectures

Feb. 7, 2019 3 p.m. - 5 p.m.: All are welcome to the lecture series featuring two leading scholars, and offering a refreshment break between the lectures.

DaubechiesAt 3 p.m.: Mathematicians Helping Art Conservators and Art Historians, presented by Professor Ingrid Daubechies, Departments of Mathematics, Electrical and Computer Engineering, Duke University. Dr. Daubechies will deliver a Rosenblatt lecture as part of the Distinguished Diversity Colloquium, co-sponsored by the Mathematics Department Diversity Committee. Dr Daubechies will discuss how mathematics can help art historians and conservators in studying and understanding artworks, their manufacture process and their state of conservation. Her presentation will review examples of collaborations that have led -- and are still leading -- to interesting new challenges in signal and image analysis. In other applications, it’s possible to virtually rejuvenate artworks, bringing a different understanding and experience of the art to museum visitors as well as to experts. 

TavareAt 5 p.m.: Some Statistical Problems in Cancer Genomics, by Professor Simon Tavare, a mathematician/statistician who is Director of the Irving Institute of Cancer Dynamics at Columbia University. The starting point for Dr. Tavare’s talk comes from population genetics: how to best estimate evolutionarily relevant parameters from DNA sequence data taken from samples of individuals? His talk includes examples concerning inference of the number of distinct DNA sequences in a sample, given only information about the frequency of point mutations in the samples. The example provides an introduction to inference from typical cancer sequencing data; he offers an overview on cancer evolution, the sort of statistical and computational problems it poses. He plans to discuss novel experimental methods being developed to understand the 3D structure of tumors, paving the way for some challenging inferential problems that will require engagement from data scientists and others.

Where: Natural Sciences Building (NSB Auditorium) on the UC San Diego campus. To register:

Data science in theory and action: Information Theory and Applications Workshop

ISDA WorkshopFeb. 10-15, 2019: This week-long workshop is billed as a relaxed gathering of researchers applying theory to diverse areas in science and engineering.

It is being held at the Catamaran Resort in Pacific Beach, near the UC San Diego campus.

Deadlines will be in January 2019 for papers, abstracts and posters. See the Information Theory event website for more details and registration.