Careers in Data Science: Meet the Data Science Consortium Research Scientists19605c32ac19042a6895ffaef6aeaf07John Handley, Wencheng Wu and Beilei Xu have recently joined the Goergen Institute for Data Science as a team of research scientists for Rochester's Data Science Consortium. Previously, each of them had careers in companies such as Xerox, PARC and Conduent. Hear about their backgrounds and experiences in data science and welcome them to the university. Pizza lunch will be served.Wegmans Hall 1400 (auditorium), River Campusfalse15169860000002018-01-26T12:00:0015169896000002018-01-26T13:00:00MeetingsCareer EventsTalks2018/01/0125_Careers in Data Science Meet the Data Science Consortium Research Scientists.htmlfalseOnceCIRC Symposium Series4002904bac19042a6895ffae703ed3f3Wegmans Hall 1400 (auditorium), River Campusfalse15163794000002018-01-19T11:30:0015163848000002018-01-19T13:00:00Talks2018/01/0119_circ-symposium-series .htmlfalseOnceDandyHacks Spring '1815fd2934ac19042a71a836ad0f21eeafHackathon Douglass Ballroom (2nd Floor) sponsored by ROCHackDouglass Ballroom (2nd Floor)false15187572000002018-02-16T00:00:0015189300000002018-02-18T00:00:00Other2018/02/0217_dandyhacks-spring-18.htmltrueOnceROC Data Science Meetup1964cfb7ac19042a6895ffae27a98cc1The University of Rochester’s Goergen Institute of Data Science (GIDS) is hosting ROC Data Science Meetup to kick off the new year. Meet faculty, students, and staff from GIDS as well as area professionals involved in data science for refreshments from 5:30-6:15pm for a reception on the 2nd Floor of the new Wegmans Hall. We will then move to the auditorium to hear from Brendan Mort, Director of the Center for Integrated Research Computing (CIRC) and Assistant Professor of Chemistry, who will talk about CIRC as well as recent trends in tools and methods for modeling, analyzing, and visualizing computer-driven research. University guests to park in the Intercampus Drive Lot. Upon arrival, look for signage from parking to Wegmans Hall.Wegmans Hall, River Campusfalse15175242000002018-02-01T17:30:0015175314000002018-02-01T19:30:00Career EventsTalks2018/02/0201_ROC Data Science Meetup.htmlfalseOnceSpring Career Expo1972419dac19042a6895ffae5e146a34The Gwen M. Greene Center invites you to our 2018 Spring Career Expo! Explore entry-level and internship opportunities with companies that are looking to recruit University of Rochester undergraduate and graduate students. Employers will be on-site from industries including advertising, banking, engineering, finance, healthcare, marketing, and many more! Feldman Ballroom, Frederick Douglass Buildingfalse15187536000002018-02-15T23:00:0015187212000002018-02-15T14:00:00Career Events2018/02/0215_Spring Career Expo.htmlfalseOnceCareers in Data Science: Mike Koelemay and Kevin McCormick, Sikorsky3fecbaeaac19042a6895ffaed3664c61Mike Koelemay and Kevin McCormick lead the Applied Analytics Team within Sikorsky’s Analytics, Prognostics & Health Management and Artificial Intelligence organization, based in Rochester. Their team is responsible for bringing state-of-the-art analytics and algorithm technologies to support the ingestion, processing, and serving of data collected onboard thousands of aerospace assets around the world. Drawing on their 20+ combined years of experience in applied data analytics for integrated system health management technologies, their team works with other software engineers, data architects, and data scientists to support the execution of advanced algorithms, data mining, signal processing, system optimization, and advanced diagnostics and prognostics technologies, with a focus on rapidly generating information from large, complex datasets.Wegmans Hall 1400 (auditorium), River Campusfalse15187932000002018-02-16T10:00:0015187968000002018-02-16T11:00:00Career Events2018/02/0216_Careers in Data Science Sikorsky.htmlfalseOnceCIRC Symposium Series3fefcc6eac19042a6895ffaeb17687d4Every third Friday of the month, the Center for Integrated Research Computing hosts a research symposium (known as the CIRC Symposium), where faculty, staff, and student researchers convene to learn about research projects utilizing the center's resources, meet potential collaborators, and learn about new technologies and trends in research computing. This event is user-driven and features presentations by researchers using CIRC systems. CIRC Symposia are open to all members of the university community and a complimentary lunch is provided. This month’s featured speaker is Zhengwu Zhang from the Department of Biostatistics and Computational Biology. He will discuss a state-of-the-art structural connectome processing pipeline and a novel dimensionality reduction technique for showing relationships between connectome structure and various human traits.  Our on-going research talk will be provided by Andrew Owens from the Department of Economics. He will demonstrate results from asking the question whether or not consumers pay higher prices at the grocery store after moving to a new location.  Lunch will be provided.Wegmans Hall 1400 (auditorium), River Campusfalse15187986000002018-02-16T11:30:0015188040000002018-02-16T13:00:00Talks2018/02/0216_circ-symposium-series .htmlfalseOnceData Science Open House667185e3ac19042a6895ffae29df23c6On Friday, February 9th from 12-1pm, Data Science will be holding an Open House for undergraduate students to introduce them to our curriculum, to hear about what makes our program special, and to meet with students and faculty from our department. This is the time of year when many students will be declaring their major and giving some thoughts about their future path. This is your opportunity to: • Talk with current declared majors and faculty and find out what opportunities data science holds. • Ask your peers about doing other majors/minors, studying abroad, independent study/research while in the data science program • Talk to students who have done cool internships or attended an inspiring conference • Find out why someone choose a BA vs BS degree or how they choose their concentration • Make an appointment to speak with the data science advisor As always, FREE LUNCH! Wegmans Hall 1400 (auditorium), River Campusfalse15181956000002018-02-09T12:00:0015181992000002018-02-09T13:00:00Meetings2018/02/0209_data-science-open-house.htmlfalseOnceComputer Science Colloquium Series:Everyday Personal Informatics667565b1ac19042a6895ffae8a5503b4Daniel Epstein, University of Washington Monday, February 12, 2018, 12:00 PM 1400 Wegmans Hall Everyday Personal Informatics Personal tracking technology has made it easier for people to better understand themselves and their routines around exercise, eating, finances, and more. This self-knowledge can serve as a first step toward changing behaviors, increasing awareness, or simply satisfying a curiosity. Though some people succeed in achieving their goals, most encounter a fundamental barrier: the design principles used in tracking technology assume people are highly motivated, unwavering in their diligence, and have the expertise necessary to analyze their data. In this talk, I will demonstrate how the design of tracking technology can be improved to help people overcome two challenges: (1) helping people find value in their tracking, and (2) helping people find support through their tracking. I will present generalizable opportunities for designs to overcome these challenges through a conceptual model and framework, and will describe four novel systems which evaluate design strategies that are uncovered by these opportunities. The novel systems demonstrate how designs can better surface interesting and actionable insights from data, support people after they have lapsed in tracking, help people create interesting shareable content from their tracked data, and scaffold an interested audience with which to share. I will conclude by discussing opportunities I am excited to explore in the future, including supporting the decision to track and the tool selection process, enabling opportunistic storytelling through tracked data, and developing more inclusive tracking technologies. Bio: Daniel Epstein is a Ph.D. Candidate in Computer Science & Engineering at the University of Washington, where he is coadvised by James Fogarty and Sean Munson. Daniel's research examines how people use personal tracking technology today, using this understanding to inform the development of novel systems and generalizable models and frameworks. In addition to publications and awards at top-tier venues for Human-Computer Interaction, his work has been featured in the popular press such as Cosmopolitan, the Atlantic, and the Wall Street Journal, and has been presented to product and development teams at Fitbit, Microsoft, and Adobe. Wegmans Hall 1400 (auditorium), River Campusfalse15184548000002018-02-12T12:00:0015184584000002018-02-12T13:00:00Talks2018/02/0212_computer-science-colloquium-serieseveryday-personal-informatics.htmlfalseOnce0323_Power BI Implementation: A Guide to the Other 90%fd46d76bac19042a0876832a1377db87Dewey 2110E, Dewey Hallfalse15218064000002018-03-23T08:00:0015218388000002018-03-23T17:00:00Meetings2018/03/0323_power-bi-implementation-a-guide-to-the-other-90.htmltrueOnceGoergen Institute for Data Science Seminar Series: Nathan Sanders7217c493ac19042a71a836ad63685c4aTITLE: Data Science in Hollywood: A Diversity of Challenges and Statistical Solutions ABSTRACT: The marketplace of ideas in data science is a fluid medium for identifying fruitful pairings of challenging problems and novel methodological approaches. These pairings often arise independently from diverse theoretical disciplines and practice areas. Data scientists in industry benefit from an expansive mutual exchange of ideas with academic domains across science, math, and engineering.     The entertainment industry is an excellent case study in this exchange, having a rich offering of challenges in executive decision making and consumer behavior prediction, but little historical precedent for quantitative approaches to solutions. In this colloquium, I will share a range of challenges encountered over several years of helping to launch a pioneering data science group in this industry and some of the solutions we have developed. These experiences span approaches including predictive machine learning, natural language processing, image recognition and deep learning, and Bayesian inference, applied to problems including advertising attribution from campaign and consumer survey data, time series extrapolation of natural language trends identified in social media data, and making inferences about consumers both at massive scales and under the constraint of limited data. Throughout, I will draw connections that illustrate the productive interchange of ideas from academia to industry. BIO: Nathan Sanders is the Vice President of Quantitative Analytics at Legendary Entertainment (, the Hollywood studio behind Pacific Rim, Intersteller, Kong: Skull Island, and other blockbuster films, and oversees the Data Science and Primary Research teams there. Nathan joined Legendary in 2013, helping to establish their first-in-the-industry, Boston-based Applied Analytics division which informs the creative process around Legendary's films and executes targeted marketing campaigns worldwide. Nathan did his undergraduate work at Michigan State University and earned his PhD in Astronomy and Astrophysics from Harvard University, where he developed Bayesian models of the light curves of core-collapse supernovae. Nathan is a co-founder of the science communication programs Astrobites (, the reader's digest for the astrophysical literature, and ComSciCon (http://comscicon,org/), the workshop series on science communication for graduate students.Wegmans 1400false15218172000002018-03-23T11:00:0015218208000002018-03-23T12:00:00Talks2018/03/0323_goergen-institute-for-data-science-seminar-series-nathan-sanders.htmlfalseOnceCIRC Symposium Series3ff3f425ac19042a6895ffae29634fadWegmans Hall 1400 (auditorium), River Campusfalse15212142000002018-03-16T11:30:0015212196000002018-03-16T13:00:00Talks2018/03/0316_circ-symposium-series .htmlfalseOnceCIRC Symposium Series3ff5d09aac19042a6895ffae0a61533fTBAfalse15242382000002018-04-20T11:30:0015242436000002018-04-20T13:00:00Talks2018/04/0420_circ-symposium-series .htmlfalseOnceCareers in Data Science: Francesca Romano3ffe483fac19042a6895ffae7bbf9c71Wegmans Hall 1400 (auditorium), River Campusfalse15236352000002018-04-13T12:00:0015236388000002018-04-13T13:00:00Career Events2018/04/0413_Careers in Data Science Francesca Romano.htmlfalseOnceUP-STAT: 7th Annual Conference of the Upstate New York Chapters of the American Statistical Association96086675ac19042a6895ffaebbd902f1join us on April 20-21, 2018 on the beautiful campus of the great University of Rochester, in Rochester, NY for the 7th Annual Conference of the Upstate New York Chapters of the American Statistical Association. You won’t want to miss such a festival of Statistical Science and Data Science, that has now, for seven (7) years in a row, revitalized the statistical dynamics of our community. Our theme this year is Better Living Through Statistics, a rather bold declaration, but a very accurate too, considering the manifold ways in which Statistics now permeates all walks of life. With the beautiful campus of the University of Rochester as our venue this year, along a great vibrant keynote speaker and five (5) potentially very enriching tutorials, we have again convene a platform to cater for as many statistical tastes as possible. Besides, our data analytics competition, a feature of our conference series, welcomes this year a fascinating challenge centered around the Rochester Police Department (RPD) recently completed Data Portal. Get your young statistics and data science minded undergraduates and graduate students take the challenge of using data science and statistics to help understand and solve various patterns of public safety and crime. As of today, UP-STAT 2018 is only eleven (11) weeks away. Please encourage your undergraduate and graduate students, and certainly your colleagues to attend this exciting conference. Go ahead and register right now to make the most of this gathering of brilliant minds! Be sure to encourage your students, your friends and your colleagues to attend. The UP-STAT conference series has developed into an ideal platform for the dissemination of the research work of graduate students and young professors. It is a friendly atmosphere with tons of opportunities to learn state of the art statistical methods and network with other statisticians and data scientists. Wegmans Hall 1400 (auditorium), River Campusfalse15241968000002018-04-20T00:00:0015242832000002018-04-21T00:00:00Meetings2018/04/0420_up-stat.htmltrueOnceComputer Science/Data Science Colloquium: Rick Rashid MS '77, PhD '80f6eb8f7dac19042a0876832a70c185a9Wegmans Hall 1400 (auditorium), River Campusfalse15238944000002018-04-16T12:00:0015238980000002018-04-16T13:00:00Talks2018/04/0416_rick-rashid-ms-77,-phd-80.htmltrueOnceOpen Data/Code event organized by the Leadership in Education Cluster (UCIS)fd02af1fac19042a0876832aeb6631bfGamble Room (Rush Rhees Library, 3rd floor - use elevator in Lam Square to access)false15224238000002018-03-30T11:30:0015224283000002018-03-30T12:45:00Meetings2018/04/0430_open-datacode-event.htmlfalseOnceCEIS 18th Annual University Technology Showcase2f3252e4ac19042a0876832acf60a469DoubleTree Hotel, Rochester, NYfalse15235524000002018-04-12T13:00:0015235650000002018-04-12T16:30:00Other2018/04/0412_ceis-18th-annual-university-technology-showcase.htmlfalseOnceDeadline to Submit Abstracts for CEIS5e664e31ac19042a64a6ddae7a08f051false15228144000002018-04-04T00:00:0015229007400002018-04-04T23:59:00Other2018/04/0404_deadline-to-submit-abstracts-for-ceis.htmltrueOnceCIRC Spring Workshop5e6a1508ac19042a64a6ddae503e1e76VISTA Collaboratory on the 1st Floor of the Carlson Libraryfalse15230232000002018-04-06T10:00:0015230448000002018-04-06T16:00:00Meetings2018/04/0406_circ-spring-workshop.htmlfalseOnceGraduate Student Open House5e701563ac19042a64a6ddaee6304a31Goergen Hallfalse15230340000002018-04-06T13:00:0015230520000002018-04-06T18:00:00Meetings2018/04/0406_graduate-student-open-house.htmlfalseOnceDeadline for NSF Vizzies Challenge5e7368bbac19042a64a6ddae750b7c44false15237648000002018-04-15T00:00:0015237648000002018-04-15T00:00:00Meetings2018/04/0415_deadline-for-nsf-vizzies-challenge.htmlfalseOnceDeadline to Apply for Financial Support for Grace Hopper Celebration5e7621d5ac19042a64a6ddae3520f08ffalse15241968000002018-04-20T00:00:0015241968000002018-04-20T00:00:00Other2018/04/0420_deadline-to-apply-for-financial-support-for-grace-hopper-celebration.htmltrueOnceNVIDIA Deep Learning Workshop81b4fc93ac19042a64a6ddae4c2d9844Seminar Room (Room 101), Larry and Cindy Bloch Alumni and Advancement Center, University of Rochester, 300 E. River Road, Rochester, NY 14627false15247620000002018-04-26T13:00:0015247764000002018-04-26T17:00:00Other2018/04/0426_nvidia-deep-learning-workshop.htmlfalseOnceGrowth of Massive Galaxies with John Moustakas81c3bb53ac19042a64a6ddaefa9dd3f2TITLE: Growth of Massive Galaxies ABSTRACT: Massive galaxies, the most massive of which are generally found at the centers of the largest dark matter halos in the universe, provide a unique laboratory for investigating several  longstanding problems in galaxy formation and evolution.  Despite their importance, however, measurements of the mass assembly and star formation histories of massive galaxies remain  discordant and controversial, resulting in significant uncertainties in how numerical simulations treat gas cooling, star formation, and feedback from massive stars and supermassive black  holes in massive halos. I will review the various challenges confronting efforts to measure the stellar mass growth of massive galaxies, and the significant implications of these discrepancies for theoretical models of  galaxy formation.  I will then describe ongoing work to obtain an accurate census of the integrated stellar mass content of massive galaxies at intermediate redshift using new deep, wide-area optical and mid-infrared imaging from the Legacy Surveys ( Finally, for the data science enthusiasts, I will also describe some of the big-data challenges confronting the Legacy Surveys, as well as the forthcoming Dark Energy Spectroscopic Instrument (DESI) survey. BIO: John Moustakas received a Bachelor of Arts degree with High Honors in Physics and Astrophysics, with a minor in English Literature, from the University of California, Berkeley in 2000. One of the highlights of his college career was the year spent abroad at the Edinburgh University in Scotland taking classes at the Royal Observatory. He attended graduate school at the University of Arizona and obtained both a Masters and Ph.D. degrees in Astrophysics.  His esis, completed in 2006 under the direction of Prof. Robert Kennicutt and Prof. Dennis Zartisky, was entitled "Spectral Diagnostics of Galaxy Evolution." He went on to complete two 3-year post-doctoral research fellowships, first at New York University with Prof. Michael Blanton, and then at the University of California, San Diego with Prof. Alison Coil. Finally, Moustakas joined the faculty at Siena College as a tenure-track Assistant Professor in 2012.  RSVP to Segev BenZvi, Assistant Professor, Department of Physics and Astronomy, sybenzvi@pas.rochester.eduBausch & Lomb 375false15236424000002018-04-13T14:00:0015236460000002018-04-13T15:00:00Talks2018/04/0413_growth-of-massive-galaxies-with-john-moustakas.htmlfalseOnceRDDS Journal Club 92b8755cac19042a64a6ddae8c010a51Wegmans Hall 1201false15233760000002018-04-10T12:00:0015233814000002018-04-10T13:30:00Meetings2018/04/0410_rdds-journal-club.htmlfalseOnceCareers in Data Science: Anoti Deyala '14S9812aefbac19042a64a6ddae219aea12Schlegel Hall 207false15240852000002018-04-18T17:00:0015240888000002018-04-18T18:00:00Career Events2018/04/0418_careers-in-data-science-anoti-deyala-14s.htmlfalseOnce***CANCELLED*** Brent Seales, University of Kentucky98166b18ac19042a64a6ddae48545081Wegmans Hall 1400 (auditorium), River Campusfalse15239916000002018-04-17T15:00:0015239952000002018-04-17T16:00:00Talks2018/04/0417_brent-seales,-university-of-kentucky.htmlfalseOnceDataFest@RITaa23008aac19042a64a6ddaed81440feRochester Institute of Technology (RIT)false15236532000002018-04-13T17:00:0015238260000002018-04-15T17:00:00Meetings2018/04/0413_datafest-rit.htmltrueOnceCTSI Analytics Colloquium: Deep Learning Methodsaacf1596ac19042a64a6ddae37346617Whipple Auditorium (2-6424) in the Medical Centerfalse15245820000002018-04-24T11:00:0015245856000002018-04-24T12:00:00Talks2018/04/0424_ctsi-analytics-colloquium-deep-learning-methods.htmlfalseOnce Computer Science Colloquium Series: Bimal Viswanathaad9041dac19042a64a6ddaece49f66eWegmans Hall 1400 (auditorium), River Campusfalse15232896000002018-04-09T12:00:0015232932000002018-04-09T13:00:00Meetings2018/04/0409_computer-science-colloquium-series-bimal-viswanath.htmlfalseOnceOpen Access Publishing with Michael Eisend4849581ac19042a64a6ddae90b5958cInterested in hearing about open access publishing and the way it is affecting how scholarly work is communicated to the world? Come to hear Professor Michael Eisen, the co-founder of the Public Library of Science, speak about “The Journal Free Future of Scholarly Publishing.” His presentation will be in room 1400, Wegmans Hall, from 3:30-4:30 pm on Tuesday, April 24. The talk is free and open to the public; a reception will follow. Contact Amanda Larracuente ( for questions or accommodation requests. In addition to his role in PLoS, Dr. Eisen is a professor in the Department of Molecular and Cell Biology at UC Berkeley, a Howard Hughes Medical Institute investigator, and a 2018 candidate for the US Senate. His talk is sponsored by the Leadership in Education UCIS group, with additional support from UCIS groups in Genetics and in RNA Structure and Function. Wegmans Hall 1400 (auditorium), River Campusfalse15245982000002018-04-24T15:30:0015246018000002018-04-24T16:30:00Talks2018/04/0424_open-access-publishing-with-michael-eisen.htmlfalseOnceR-CHIVE Conference 2018da22c125ac19042a64a6ddae5c476d9eRIT (Thurs) and University of Rochester (Fri)false15283746000002018-06-07T08:30:0015284889000002018-06-08T16:15:00Meetings2018/06/0606_r-chive-conference-2018.htmltrueOnce