NYC Tech Events - GarysGuide | The #1 Resource for NYC Tech

LOCATION

EVENT DETAILS

MLconf NYC 3/27/2015
The Machine Learning Conference is headed to NYC again for a second gathering. MLconf is scheduled for Friday, March 27th, 2015 at 230 5th Avenue, Mid Town, New York City. Join us for a full day of presentations from experts in Machine Learning and Data Science from Research and Industry. We'll have encore presentations from a few of the favorite speakers from 2014, including Corinna Cortes, Head of Research at Google, and Claudia Perlich, Chief Scientist at Dstillery. More speakers to be announced soon!
Presentations confirmed from:
<IMG STYLE="border-style: none; -webkit-transform: rotate(0rad);" SRC="https://cdn.evbuc.com/eventlogos/38783/corinnacortes.png" ALT="" WIDTH="150" HEIGHT="188">
Corinna Cortes, Head of Research, <A HREF="http://www.google.com/" REL="nofollow">Google</A>
Corinna Cortes is the Head of Google Research, NY, where she is working on a broad range of theoretical and applied large-scale machine learning problems. Prior to Google, Corinna spent more than ten years at AT&T Labs - Research, formerly AT&T Bell Labs, where she held a distinguished research position. Corinna's research work is well-known in particular for her contributions to the theoretical foundations of support vector machines (SVMs), for which she jointly with Vladimir Vapnik received the 2008 Paris Kanellakis Theory and Practice Award, and her work on data-mining in very large data sets for which she was awarded the AT&T Science and Technology Medal in the year 2000. Corinna received her MS degree in Physics from University of Copenhagen and joined AT&T Bell Labs as a researcher in 1989. She received her Ph.D. in computer science from the University of Rochester in 1993. Corinna is also a competitive runner, and a mother of two. 

<IMG SRC="https://cdn.evbuc.com/eventlogos/115569453/jeffjohnson.png" ALT="" WIDTH="150">
Jeff Johnson, Research Engineer, Facebook
Jeff is a research engineer at Facebook AI Research, currently building new CPU and GPU-based systems for machine learning. At Facebook Jeff previously worked on Apollo, a novel large-scale distributed database system built using strong and weak consensus protocols. Prior to Facebook, he worked for over a decade in the video game industry, primarily on real-time physics simulation, distributed systems and low-level optimization. Jeff studied mathematics and computer science at Princeton University, with a BSE in Computer Science.

<IMG SRC="https://cdn.evbuc.com/eventlogos/38783/claudiaperlich.jpg" ALT="" WIDTH="150" HEIGHT="150">
Claudia Perlich, Chief Scientist, <A STYLE="line-height: 1.6em;" HREF="http://dstillery.com/" REL="nofollow">Dstillery</A>
Claudia Perlich currently acts as chief scientist at Dstillery (previously m6d) and in this role designs, develops, analyzes, and optimizes the machine learning that drives digital advertising. She has published more than 50 scientific article and holds multiple patents in machine learning. She has won many data mining competitions and best paper awards at KDD and is acting as General Chair for KDD 2014. Before joining m6d in February 2010, Perlich worked in the Predictive Modeling Group at IBM's T. J. Watson Research Center, concentrating on data analytics and machine learning for complex real-world domains and applications. She holds a PhD in information systems from NYU and an MA in computer science from Colorado University and teaches in the Stern MBA program at NYU.
 
<IMG SRC="https://cdn.evbuc.com/eventlogos/115569453/tedwillkemlconf2014.jpg" ALT="" WIDTH="150">
Ted Willke, Senior Principal Engineer, Intel Labs
Ted Willke leads a team that researches large-scale machine learning and data mining techniques in Intel Labs. Prior to returning to the Labs this year, he led the analytics team within Intel's Datacenter Group, which develops cloud solutions for machine learning and data mining. He developed his expertise over his 17 years with Intel. He has developed both software and hardware technologies for datacenters in Intel Labs and Intel's product organizations. Ted holds a Doctorate in electrical engineering from Columbia University. He won Intel's highest award last year for starting a venture focused on graph-shaped data.
 
<IMG SRC="https://cdn.evbuc.com/eventlogos/115569453/ilonamurynetsphoto.png" ALT="" WIDTH="150">
Ilona Murynets Senior Member of Technical Staff, AT&T Security Research Center
Ilona Murynets is a scientist at the Chief Security Office at AT&T. She obtained her Ph.D. in Systems Engineering at School of Systems and Enterprises, Stevens Institute of Technology. Her dissertation received an Outstanding Dissertation Award. Ilona holds B.Sc. degree in Mathematics and M.S. degree in Statistics, Financial & Actuarial Mathematics from Kiev National Taras Shevchenko University, Ukraine. Ilona's research is in the area of data mining, optimization and statistical analysis in application to malware and fraud detection, mobile and network security.
 
<IMG SRC="https://cdn.evbuc.com/eventlogos/115569453/oscarclema.jpg" ALT="" WIDTH="150" HEIGHT="150">
scar Celma, Director of Research, Pandora
scar Celma is currently Director of Research at Pandora, where he leads a team of scientists to provide the best personalized radio experience. From 2011 till 2014 scar was Senior Research Scientist at Gracenote. His work focused on music and video recommendation and discovery. Before that he was co-founder and Chief Innovation Officer at Barcelona Music and Audio Technologies (BMAT). scar published a book named Music Recommendation and Discovery: The Long Tail, Long Fail, and Long Play in the Digital Music Space (Springer, 2010). In 2008, scar obtained his Ph.D. in Computer Science and Digital Communication, in the Pompeu Fabra University (Barcelona, Spain). He holds a few patents from his work on music discovery as well as on Vocaloid, a singing voice-synthesizer bought by Yamaha in 2004.
 
<IMG SRC="https://cdn.evbuc.com/eventlogos/38783/jeremyschiff.jpg" ALT="" WIDTH="150">
Jeremy Schiff,Senior Manager, Data Science, OpenTable
<SPAN STYLE="font-family: arial, sans, sans-serif;" DATA-SHEETS-VALUE="[null,2," JEREMY="Jeremy" SCHIFF="Schiff" EARNED="earned" AN="an" UNDERGRADUATE="undergraduate" IN="in" ELECTRICAL="Electrical" ENGINEERING="Engineering" AND="and" COMPUTER="Computer" SCIENCE="Science" FROM="from" THE="the" UNIVERSITY="University" OF="of" CALIFORNIA="California" IN="in">Jeremy Schiff earned an undergraduate in Electrical Engineering and Computer Science from the University of California in 2005, and a Ph.D. in Electrical Engineering and Computer Science in 2009, with a focus on applying machine learning and statistical inference to robotics. In 2006, Jeremy co-founded FotoFlexer.com, an online photo editing company that powered companies such as MySpace and Photobucket. In 2009, Jeremy joined Ness Computing, a Personalized Search and Recommendation company. As VP of Machine Learning, he oversaw the efforts around Personalized Recommendations, and other data-driven features. Ness sold to OpenTable in 2014, where Jeremy now leads DataScience.
<SPAN STYLE="font-size: 13px; font-family: arial,sans,sans-serif;" DATA-SHEETS-VALUE="[null,2," JEREMY="Jeremy" SCHIFF="Schiff" EARNED="earned" AN="an" UNDERGRADUATE="undergraduate" IN="in" ELECTRICAL="Electrical" ENGINEERING="Engineering" AND="and" COMPUTER="Computer" SCIENCE="Science" FROM="from" THE="the" UNIVERSITY="University" OF="of" CALIFORNIA="California" IN="in"> 
<IMG SRC="https://cdn.evbuc.com/eventlogos/38783/unnamed.jpg" ALT="" WIDTH="150">
Alina Beygelzimer, Senior Research Scientist, <A HREF="labs.yahoo.com/" REL="nofollow">Yahoo Labs</A>
Alina Beygelzimer is a Senior Research Scientist at Yahoo Labs in New York, working on theoretical and applied machine learning. Before joining Yahoo, she was at the IBM Thomas J. Watson Research Center, where she received the Pat Goldberg Best Paper Award for her work on nearest neighbor search. Alina received a Ph.D. in Computer Science from the University of Rochester in 2003. Her work has has more than 1500 citations.

<IMG SRC="https://cdn.evbuc.com/eventlogos/115569453/michalmaloh.jpg" ALT="" WIDTH="150">
Michal Malohlava, Software Engineer, H2O.ai
Michal is a geek, developer, Java, Linux, programming languages enthusiast developing software for over 10 years. He obtained PhD from the Charles University in Prague in 2012 and post-doc at Purdue University. During his studies he was interested in construction of not only distributed but also embedded and real-time component-based systems using model-driven methods and domain-specific languages. He participated in design and development of various systems including SOFA and Fractal component systems or jPapabench control system.

<IMG SRC="https://cdn.evbuc.com/eventlogos/115569453/irinarish.png" ALT="" WIDTH="150" HEIGHT="150">
Irina Rish, Research Staff, IBM T.J. Watson Research Center
Irina Rish is a research staff member at the IBM T.J. Watson Research Center. She received MS in Applied Mathematics from Moscow Gubkin Institute, Russia, and PhD in Computer Science from the University of California, Irvine. Her areas of expertise include artificial intelligence and machine learning, with a particular focus on probabilistic graphical models such as Bayesian and Markov networks, sparsity and compressed sensing, information-theoretic experiment design and active learning, with numerous applications ranging from diagnosis and performance management of distributed computer systems (autonomic computing) to predictive modeling and statistical biomarker discovery in neuroimaging (functional MRI and EEG) and other biological data. Irina has published over 50 papers, several book chapters, two edited books, and a monograph on Sparse Modeling, taught several tutorials and organized numerous workshops at top machine-learning conferences, such as NIPS, ICML and ECML. She holds 24 patents and several IBM awards, including IBM Technical Excellence award, IBM Technical Accomplishment award, and multiple Invention Achievement Awards. Also, as an adjunct professor at the EE Department of Columbia University, she taught several advanced graduate courses on statistical learning and sparse signal modeling.

<IMG SRC="https://cdn.evbuc.com/eventlogos/115569453/juliethougland.jpg" ALT="" WIDTH="150">
Juliet Hougland, Data Scientist, Cloudera
Juliet is a data scientist at Cloudera where she builds tools that make data analysis on Hadoop easier and helps customers build models and data pipelines on huge data sets. Prior to Cloudera, she spent 3 years working on a variety of Big Data applications from building a real-time model application platform for e-commerce recommendations to designing predictive models for oil and gas pipeline operators. She holds an MS in Applied Mathematics from University of Colorado, Boulder and graduated Phi Beta Kappa from Reed College with a BA in Math-Physics.

<IMG SRC="https://cdn.evbuc.com/eventlogos/115569453/jeremystanley5x4cm.png" ALT="" WIDTH="150">
Jeremy Stanley, EVP/Data Scientist - Sailthru
Chief Data Scientist & EVP of Engineering Prior to Sailthru, Jeremy was the CTO at Collective where he led a team of data scientists, product managers and engineers in creating technology platforms that used machine learning and big data to solve digital advertising challenges. Before joining Collective, Jeremy founded and led the Global Markets Analytics Group at Ernst & Young, analyzing the firm's markets, financial and personnel data to inform executive decision making. Jeremy holds a bachelor's degree in mathematics from Wichita State University, and an MBA from Columbia Business School.

<IMG SRC="https://cdn.evbuc.com/eventlogos/115569453/danmallinger.jpg" ALT="" WIDTH="150">

Dan Mallinger, Data Science Practice Manager, Think Big Analytics
Dan Mallinger is the Data Science Practice Manager for Think Big Analytics. He has deep experience enabling analytics at enterprises and implementing data science solutions, having helped many of the Fortune 100. Dan has extensive experience working with product, business, and marketing teams across a wide variety of industries. His work with them has been focused on driving value from multi-structured and unstructured data sets. He is formally trained in statistics, computer science, and organizational psychology & leadership.
 
<IMG SRC="https://cdn.evbuc.com/eventlogos/38783/ron.jpg" ALT="" WIDTH="150">
Ron Menich,Chief Data Scientist, Predictix, LLC
Ron Menich is EVP and Chief Data Scientist and Predictix, LLC, where he leads a team of machine learning and retail implementation personnel, delivering demand forecasting, promotional lift estimation and related services to a variety of customers and prospects. Dr. Menich has over 20 years of industrial experience in retail, revenue management, travel & hospitality, price optimization and related fields. He received his Ph.D. in Industrial & Systems Engineering and M.S. in Operations Research, both from Georgia Tech, and his undergrad in Math from the University of Illinois at Urbana/Champaign.

Event Sponsors: 
Gold Sponsorships: Think Big Analytics, A Teradata Company, 0xdata, h20.ai, Sailthru and <A HREF="https://www.mapr.com/" REL="nofollow">MapR</A>.
<A HREF="http://www.thinkbig.teradata.com/" REL="nofollow"><IMG SRC="https://cdn.evbuc.com/eventlogos/38783/thinkbigateradataco.png" ALT="" WIDTH="100" HEIGHT="100"></A>
<IMG SRC="https://cdn.evbuc.com/eventlogos/38783/0xdatafinalblack-3.png" ALT="" WIDTH="150" HEIGHT="38">
<A HREF="https://www.mapr.com/" REL="nofollow"><IMG SRC="https://cdn.evbuc.com/eventlogos/38783/maprlogo28redbackground26whitetext291.jpg" ALT="" WIDTH="150" HEIGHT="50"></A>
<IMG SRC="https://cdn.evbuc.com/eventlogos/115569453/h2oailogo.png" ALT="" WIDTH="150" HEIGHT="58">
<A HREF="https://www.sailthru.com" REL="nofollow"><IMG SRC="https://cdn.evbuc.com/eventlogos/115569453/sailthru.jpg" ALT="" WIDTH="150"></A>
Coffee Sponsorship: Google
<A HREF="https://www.google.com" REL="nofollow"><IMG SRC="https://cdn.evbuc.com/eventlogos/38783/logocol874x288.png" ALT="" WIDTH="150" HEIGHT="49"></A>
Silver Sponsorship: Intel, LogicBlox
<A HREF="https://www.intel.com" REL="nofollow"><IMG SRC="https://cdn.evbuc.com/eventlogos/115569453/intellogo.jpg" ALT="" WIDTH="150"></A>
<A HREF="http://www.logicblox.com/" REL="nofollow"><IMG SRC="https://cdn.evbuc.com/eventlogos/115569453/logicblox.png" ALT="" WIDTH="150" HEIGHT="59"></A>
Bronze Sponsorships: HiringSolved
<IMG SRC="https://cdn.evbuc.com/eventlogos/115569453/hiringsolvedlogo.png" ALT="" WIDTH="150">
Media Sponsorship: O'Reilly Media
<A HREF="http://www.oreilly.com/" REL="nofollow"><IMG SRC="https://cdn.evbuc.com/eventlogos/38783/oreillylogo.jpg" ALT="" WIDTH="150" HEIGHT="42"></A>


<DIV> </DIV>