Member of the Month, Dr. Arlei Silva received a Ph.D. in Computer Science from the University of California, Santa Barbara, advised by Ambuj Singh, where he was also a postdoctoral scholar. Before that, he received a B.Sc and M.Sc degrees in Computer Science from Universidade Federal de Minas Gerais, in Brazil, advised by Wagner Meira Jr. He has also been a visiting scholar at the Rensselaer Polytechnic Institute, hosted by Mohammed J. Zaki. Dr. Silva's research areas include data science, network science, machine learning, and graphs algorithms.
What is your favorite book?
The Count of Monte Cristo, by Alexandre Dumas, The Process, by Franz Kafka, and Dom Casmurro, by Machado de Assis, have all been favorites at some point in my life. It is hard to pick one.
How do you explain your research in one sentence?
I combine graphs algorithms and machine learning to make predictions and improve complex systems, such as social and traffic networks. |
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Unofficial NeurIPS Workshop
BRC Auditorium at Rice University | December 9, 2021 | 9:00AM - 5:00PM
Thursday, December 9th will be an in-person “unofficial” NeurIPS Workshop at the BRC Auditorium on Rice University campus from 9 AM to 5 PM.
In tradition of the conference, we will highlight the latest research on machine learning and artificial intelligence. Hear from 19 Rice University speakers. Registration is free. Breakfast and lunch will be included.
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2022 Energy High Performance Computing Conference
BRC at Rice University | March 1-3, 2022 | Houston, TX
In recent years, the Energy Industry is beset on all sides by important changes, such as growing demand for computational capacity, incorporation of data science and machine learning in the traditional workflow, increasing market volatility, increasing concern on environmental footprint, competition from, and even switching to, renewable energy, as well as the demand for reliable infrastructures.
Motivated by all these issues, we bring together the best minds together for the annual conference. Recognizing that discovery and innovation happens at interfaces of disciplines and communities, the conference aims to convene a diverse set of people spanning industry, academia, and national labs.
Looking into the future, next year will be the 15th year of the conference. To move with the times, we have changed the name from the Oil and Gas HPC Conference to the Energy HPC Conference to reflect our evolving world.
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The Data Science and Informatics Core for Cancer Research Seminar Series
Webcast | DSICCR Tuesday Seminar Series | December 7, 2021 | 12:00 - 1:00PM
Data Science and Informatics Core for Cancer Research (DSICCR):
Resources, Expertise and Services
W. Jim Zheng, Ph.D.
Professor & Director
Data Science and Informatics Core for Cancer Research
School of Biomedical Informatics
University of Texas Health Science Center at Houston
As cancer research experiences a paradigm shift from data generation to data analysis, data science and AI start to play a more and more important role to advance cancer research. Supported by the Cancer Prevention and Research Institute of Texas (CPRIT), we built a data science and AI powered shared resource, the Data Science and Informatics Core for Cancer Research (DSICCR), to support cancer research.
This core facility developed a robust computing infrastructure tailored for data science and AI research, and support faculty to develop a wide variety of deep learning-based methods. The core is also supported by sixteen participating faculty with excellent research track records in a wide range of domains covering biostatistics, bioinformatics and clinical informatics. The established core provides data science and informatics support to advance cancer research in a wide range of research areas.
Join the seminar here.
Creating a University-Based Data for Good Program: A Decision Points Workshop
Virtual | Applications close December 10, 2021
Are you considering starting a university-based Data for Good summer program?
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