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2014 Summer Internship

Feng Chen

Feng received his B.S. degree and M.S. degree from China University of Geosciences (Beijing) and Beihang University respectively. He is now a PhD candidate at University of Oklahoma - Tulsa, and majoring in electricaland computer engineering. His research interests include machine learning, image processing and distributed source coding.

Presentation: PRECISE: PRivacy-prEserving Cloud-assisted quality Improvement Service in hEalthcare - View Video

Steve Cook

Steven Cook earned his Bachelors in Computer Engineering from UVa in 2007 and a Masters in Computer Science from UCR in 2013. He worked for four years in industry on modeling and simulation of wireless networks before leaving to start a PhD with Dr. Tamar Shinar at UC Riverside. His research focuses on biophysical modeling of motor proteins and Microtubules, with the goal of eventually building a high-fidelity simulation of the mitotic spindle. Other research interests include applied mathematics, computational biology, and high performance computing. Hobbies include DSLR photography, Salsa dancing, weight lifting, and a general enthusiasm for grilling.

Presentation: Implementing Private High-Performance Genomics Pipelines - View Video

Emily Fireman

Emily is going into her second year of medical school at UCSD.

Quentin Gautier

Quentin is a PhD student in Computer Sciences at UCSD. He comes from France and got a Master's degree in CS there, more focused on software engineering. He then came in San Diego to work in the UCSD Medical Center with Dr. Steve Jiang. Quentin was developing a GPU-based application to improve treatment planning in radiotherapy and presented this work in the 2013 AAPM annual conference. After this, he started his PhD in the embedded systems group with Prof. Ryan Kastner. Quentin's last project was porting a real-time 3D reconstruction application using Kinect on FPGA hardware. Quentin likes photography, going outdoors and is dabbles in various things like video editing, 3D animation, playing guitar and other stuff.

Presentation: Detection of Outliers in the Treatment of Intensive Care Patients - View Video

Arya Iranmehr

Arya is a PhD Student in the ECE department at UCSD. His research interests are machine learning and mathematical optimization.

Presentation: SONS: Semi-Online Support Vector Machines - View Video

Haoran Li

Haoran earned her B.A. at Hefei University of Technology in 2009, and is pursuing her Ph.D. at Emory University, both in computer science. Her areas of research are in differentially private synthetic data release and differentially private dynamic information. As a graduate student, Haoran is a recipient of Emory Laney Graduate School Fellowship and Chinese Council Scholarship. She enjoys watching movies, painting, and cooking.

Presentation: Differentially Private SNP Selection in Genome-Wide Association Studies - View Video

Sisi Lu

Sisi Lu earned her Bachelor of Engineering in Computer Science at Shandong University in Jinan, China. She is currently a second-year PhD student in Computer Science Department at University of Pittsburgh. Her research interests include natural language processing, machine learning, and high dimensional data analysis.

Presentation: Identifying Temporal Relations in Clinical Notes - View Video

Ruiling Liu

Ruiling is a second year master student at the University of Texas Health Science Center at Houston, majoring in Biostatistics and Biomedical Informatics. She currently works as a graduate research assistant at the National Center for Cognitive Informatics & Decision Making in Healthcare where she helps develop an EHR usability assessment tool named Turf in C#. She is passionate about data mining and data analysis. Outside of school, she enjoys playing volleyball and travelling.

Presentation: Using NLP to Extract Kawasaki Disease Symptoms from Clinical Notes - View Video

Mark Myslin

Mark earned his BA in Linguistics at UC Santa Barbara. He is currently a fourth-year PhD student in Linguistics and Cognitive Science at UC San Diego, and works in the Computational Psycholinguistics Lab. He interested in the convergence of cognitive psychology, computational linguistics, and everyday discourse and interaction as a primary locus of language usage. His research focuses on everyday discourse and interaction as a primary locus of language usage. He is interested in the linguistic and real-world expectations speakers bring to these situations based on experience and memory, and how they rationally adapt these expectations to the environment in real time. In particular, Mark's current projects investigate syntactic priming as a consequence of rapid sequential learning, social cognition,and pragmatic intent. Mark's degree is in (theoretical) linguistics, but his current research is in computational psycholinguistics,including statistical modeling and corpus work. In this regard, his primary tool is R, which he uses on an almost-daily basis, as well as Python and UNIX. Mark has also developed web-based psycholinguistic experiments using PHP, and farmed theseout to participants using Mechanical Turk.

Presentation: Learning Discourse Relations in Biomedical Text Through Syntactic Recurrence - View Video

Alex Richardson

Alex is currently a premed undergrad studying Computer Science w/ Spec. Bioinformatics. He enjoys to skateboard, surf, snowboard, and play guitar in my spare time. His research interests are quite broad due to my lack of field experience and include a variety topics from genomic data mining to artificial intelligence and machine learning.

Presentation: PhenDisco Medical Concept Hierarchy Development using the UMLS Database - View Video

Amanda Ritchart

Amanda Ritchart is a third-year Ph.D. student in Linguistics at UCSD. Her main research interests lie in phonetics and prosody, and inpractical applications of this knowledge. She also has a strong interest in the practical application of natural language processing (NLP) that may be used to help the general population. Specifically, she is interested in sentiment analysis. Her projects this summer include: 1) a Twitter data mining project that identifies and attempts to explain geographical regions where the population may be generally more stressed than other populations, and 2) identifying linguistic signals in clinical reports that may help to better diagnose cases of Kawasaki disease.

Presentation: How Do You Relax When You're Stressed? A Content Analysis of Stressed and Relaxed Tweets - View Video

Lichang Wang

Mr. Lichang Wang received his Bachelor of Engineering degree in the major of Computer Science and Technology at Northwest A&F University,Yangling, Shaanxi, China, in 2013. In the same year, he was admitted by Northwest A&F University as a research assistant in the Laboratory of Agri-&Bio-Information Processing (LABIP). He is currently pursuing his master's degree in the major of Multimedia Networks and Communications. He is also a part-time assistant of the secretary of the College of Information Engineering. He is familiar with compression algorithms (e.g., Arithmetic Coding, Distributed Arithmetic Coding, and JPEG_LS), HPC using CUDA platform, and C/C++ programming (on both Linux and windows). His research interests include data compression, high performance computing (HPC), distributed source coding as well as image/video coding.

Xuefu Wang

Xuefu Wang is currently a 3rd year PhD candidate in statistics at Indiana University. He worked a a consulting associate at the Indiana Statistical Consulting Center for over a year stating from his second year in the PhD program. He specialize in high-dimensional analysis,dimension deduction, spatial statistics and consistency analysis, etc. Last year, Xuefu co-authored a R package, LARF, for instrument variable analysis. He enjoys the San Diego landscape and the amazingly cozy weather here.

Presentation: Assessment of Privacy Data Disclosure Risk via Non-parametric Method - View Video