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DESCRIPTION:Event Details\n\nSince 2016 our team at UC Irvine has been deve
 loping the Texera open-source system ([texera.io](http://texera.io/))\, wi
 th the goal of enabling a cloud-based platform to support collaborative da
 ta science\, AI\, and ML. It allows users with various backgrounds\, inclu
 ding those with limited coding skills\, domain scientists\, and ML experts
 \, to conduct AI-centric data science with a collaboration experience simi
 lar to Google Docs.\n\nAfter eight years of development\, the system has a
  rich set of features\, such as shared editing\, shared execution\, versio
 n control\, commenting\, debugging\, user-defined functions in multiple la
 nguages (e.g.\, Python\, R\, Java)\, and support of state-of-the-art AI/ML
  techniques. Its backend parallel engine enables scalable computation on l
 arge data sets using computing clusters. It allows bioinformaticians to el
 astically request resources from AWS to form a cluster to run computationa
 lly intensive jobs. It also supports community-based sharing of resources 
 including datasets and workflows.\n\nIn this talk\, we will give an overvi
 ew of the system\, discuss research challenges encountered in the developm
 ent and our solutions\, and give an overview of its software architecture 
 to achieve high usability\, scalability\, and reliability. We will show se
 veral domains that adopt the systems\, including education and scientific\
 n\nAbout the Speakers\, Prof. Chen Li & Jiadong Bai\n\nProf. Chen Li is a 
 professor in the Department of Computer Science at UC Irvine. He received 
 his Ph.D. degree in Computer Science from Stanford University\, and his M.
 S. and B.S. in Computer Science from Tsinghua University\, China. His rese
 arch interests are in the fields of data management\, data science\, AI/ML
 \, databases\, data-intensive computing\, search\, and visualization. He w
 as a co-founder and CTO of a startup to commercialize his research. He was
  a recipient of recognitions including an NSF CAREER award and test-of-tim
 e awards. He is an ACM Distinguished Member\, and an IEEE fellow.\n\nJiado
 ng Bai is a second-year Ph.D. student in Computer Science at UC Irvine\, a
 dvised by Prof. Chen Li. His research focuses on building intelligent syst
 ems for big data management\, with interests in integrating AI into differ
 ent aspects of data science. In the Texera project\, he is a lead designer
  of its cloud infrastructure\, and the storage\n\nNOTE: This is an IN PERS
 ON meeting and you should register if you plan on attending. Parking in th
 e near by structure will be validated. To receive a link to the event's re
 cording\, complete the survey referenced in the header or footer\; you do 
 not need to register to receive the link to the recording.\n\nCo-sponsored
  by: OC ACM [Actual Host] and Knobbe Martens\, an Intellectual Property & 
 Technology law firm [Physical Host Donor]\n\nAgenda: \n6:30 PM Networking 
 at physical meeting location\n7:00 PM Announcements and Presentation with 
 Q&A\n8:00 PM Follow-up quesitons for presenter and networking\n8:30 PM Mee
 ting Adjourned\n\n2040 Main St \, Ste 14\, Irvine\, California\, United St
 ates\, 92614
LOCATION:2040 Main St \, Ste 14\, Irvine\, California\, United States\, 926
 14
ORGANIZER:AWBrown@USC.edu
SEQUENCE:43
SUMMARY:"Texera: Cloud-Based Collaborative Data Science and AI/ML Using Wor
 kflows" IEEE OC CS & SSCS and OC ACM Meeting
URL;VALUE=URI:https://events.vtools.ieee.org/m/485269
X-ALT-DESC:Description: <br /><p><span style="text-decoration: underline\;"
 ><strong>Event</strong> <strong>Details</strong></span><strong> &nbsp\;</s
 trong></p>\n<p>Since 2016 our team at UC Irvine has been developing the Te
 xera open-source system (<a class="!text-viridian" href="http://texera.io/
 " target="_blank" rel="nofollow noopener ugc">texera.io</a>)\, with the go
 al of enabling a cloud-based platform to support collaborative data scienc
 e\, AI\, and ML. It allows users with various backgrounds\, including thos
 e with limited coding skills\, domain scientists\, and ML experts\, to con
 duct AI-centric data science with a collaboration experience similar to Go
 ogle Docs.</p>\n<p>After eight years of development\, the system has a ric
 h set of features\, such as shared editing\, shared execution\, version co
 ntrol\, commenting\, debugging\, user-defined functions in multiple langua
 ges (e.g.\, Python\, R\, Java)\, and support of state-of-the-art AI/ML tec
 hniques. Its backend parallel engine enables scalable computation on large
  data sets using computing clusters. It allows bioinformaticians to elasti
 cally request resources from AWS to form a cluster to run computationally 
 intensive jobs. It also supports community-based sharing of resources incl
 uding datasets and workflows.</p>\n<p>In this talk\, we will give an overv
 iew of the system\, discuss research challenges encountered in the develop
 ment and our solutions\, and give an overview of its software architecture
  to achieve high usability\, scalability\, and reliability. We will show s
 everal domains that adopt the systems\, including education and scientific
 </p>\n<p><strong><span style="text-decoration: underline\;">About the Spea
 kers\,</span> Prof. Chen Li &amp\; Jiadong Bai</strong></p>\n<p>Prof. Chen
  Li is a professor in the Department of Computer Science at UC Irvine. He 
 received his Ph.D. degree in Computer Science from Stanford University\, a
 nd his M.S. and B.S. in Computer Science from Tsinghua University\, China.
  His research interests are in the fields of data management\, data scienc
 e\, AI/ML\, databases\, data-intensive computing\, search\, and visualizat
 ion. He was a co-founder and CTO of a startup to commercialize his researc
 h. He was a recipient of recognitions including an NSF CAREER award and te
 st-of-time awards. He is an ACM Distinguished Member\, and an IEEE fellow.
 </p>\n<p>Jiadong Bai is a second-year Ph.D. student in Computer Science at
  UC Irvine\, advised by Prof. Chen Li. His research focuses on building in
 telligent systems for big data management\, with interests in integrating 
 AI into different aspects of data science. In the Texera project\, he is a
  lead designer of its cloud infrastructure\, and the storage</p>\n<p><span
  style="text-decoration: underline\;"><strong>NOTE:</strong></span>&nbsp\;
  This is an IN PERSON meeting and you should register if you plan on atten
 ding.&nbsp\; Parking in the near by structure will be validated.&nbsp\; <s
 trong>To receive a link to the event's <span style="text-decoration: under
 line\;">recording</span>\, complete the survey referenced in the header or
  footer\; you do not need to register to receive the link to the recording
 .</strong></p><br /><br />Agenda: <br /><p><span class="aBn" tabindex="0" 
 data-term="goog_557201553"><span class="aQJ">6:30 PM Networking at physica
 l meeting location<br></span></span><span class="aBn" tabindex="0" data-te
 rm="goog_557201553"><span class="aQJ">7:00 PM</span></span> Announcements 
 and Presentation with Q&amp\;A<br>8:00 PM Follow-up quesitons for presente
 r and networking<br>8:30 PM Meeting Adjourned</p>
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