Meet team 7: The APEX Team
Team members (from left to right):
Jose Gonzalez-Brenes - Carnegie Mellon University, United States
Sourish Chaudhuri - Language Technologies Institute, United States
Aabid Shariff - Joint Carnegie Mellon University-University of Pittsburgh Ph.D. Program in Computational Biology, United States
Carolyn Rose - Carnegie Mellon University, United States
Project Title: Automating the Generation of Life Science Protocols
INTERVIEW WITH TEAM 7
>> Academic background of team members
Jose Gonzalez-Brenes is currently pursuing his graduate studies at the Language Technologies Institute of the School of Computer Science at Carnegie Mellon University. He holds an IMBA from National Tsing Hua University, Taiwan and he completed his bachelors in Computer Science from Instituto Tecnólogico de Costa Rica.
Sourish Chaudhuri is a graduate student at the Language Technologies Institute, School of Computer Science, Carnegie Mellon University. He has a Bachelor of Technology degree in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur. Sourish is interested in machine learning methods applied to text for summarization, classification, and sentiment analysis. He is also interested in the field of intelligent tutoring systems, having done work on a variety of problems including content delivery techniques and effective communication using simulated tutors.
Aabid Shariff is a graduate student in the Joint CMU-Pitt PhD program in Computational Biology. He is interested in machine learning and optimization algorithms for biological image analysis. He is also interested in developing automated methods to improve life science literature. He completed his Bachelors (Engineering) in Industrial Biotechnology, Anna University, India.
Carolyn P. Rosé has a joint appointment with the Language Technologies Institute and the Human-Computer Interaction Department as an Assistant Professor of the School of Computer Science at Carnegie Mellon University. She holds a PhD in Language and Information Technologies and a Masters in Computational Linguistics from Carnegie Mellon University. She completed her bachelor’s of Information and Computer Science (Magna Cum Laude) at UC Irvine. Her work focuses on technologies for processing and supporting on-line communication, primarily in educational applications.
>> Current research interests related to Elsevier Grand Challenge
We are interested in user-focused language technologies research. We are extending and applying language technologies using data-driven design methodologies from the field of Human-Computer Interaction. Our target users are scientists who face a variety of challenges in searching for needed information to support their research. Our project goal is to design tools that streamline their work processes.
>> Why were you inspired to enter the Grand Challenge?
Although we have experience working on technologies to support information finding and management in other domains, biologists face particular interesting problems not very common in other fields. We thought participating in the Grand Challenge was a good opportunity to expand our focus to include these problems.
>> What do you see as the greatest challenge in finalizing your Grand Challenge? (whether substantive, logistical, team composition, working solo etc.)
Keeping up with the agenda of deliverables. There’s a lot of work to be done!
>> What would you do with the prize money?
We haven’t really defined that. We are currently motivated by the challenges of implementing a solution to our problem.
>> Does your team have a name?
We have been using the name of our Grand Challenge project to identify ourselves: the APEX team.
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