Please see the advertisement for the Postdoctoral Research Scientist position.
Research topics for MS and PhD students will be similar:
I am currently an Assistant Professor of Health Outcomes & Policy with a focus on Biomedical Informatics, in the College of Medicine @ Unversity of Florida.
The increasing complexity of today's medical research requires more than traditional, single point-of-view approaches. In particular, (big-)data-driven approaches, which aim to reveal patterns in massive heterogeneous datasets and make clinically relevant predictions, are becoming increasingly common in translational research. I have a diverse multi-disciplinary background in information security, data privacy, machine learning, social media, natural language processing, network science, distributed computing systems and software engineering.
Oh, not to mention, I have professional experience in building large-scale enterprise software systems. ;)
Check me out on github @bianjiang
- professional in building large-scale Java-based Enterprise systems, (Spring MVC, Spring Security, Apache Tiles, JPA 1.0/2.0, Hibernate, JMS with ActiveMQ, ehcache, load-balancing etc.)
- love to write code in C++11 and Python 2/3 for big-data anlytics; not realy an enthusiast of R and Matlab anymore
- have extensive experience in building native mobile software on both Android, and iOS
- started doing less PHP + (MYSQL, PostgreSQL, Apache, Zend, Slim, etc.); and very few .Net (C#/VB) + MSSQL projects
I love doing research in biomedical informatics, but I also enjoy writing high quality code...Someone famous in
so, let me know if you are looking for a friendly guy who really understands the software development process and has been a good technical team lead.
Network theory provides a conceptual framework for interpreting data from a unique perspective. Since many medical and health-related phenomena involve interdependent actors (e.g., patients, nurses, physicians, and hospitals), networks are of increasing interest to health services researchers.
I am fascinated in finding valuable information from large datasets using machine learning techniques. Big data is more than simply a matter of size; it is an opportunity to find insights in new and emerging types of data and content, and to answer questions that were previously considered beyond our reach.
More importantly, I am interested in moving biomedical informatics towards computational informatics through designing and developing analytical software systems with HPC or cloud computing platforms that are capable of handling big data in terms of storage, searching, sharing, analyzing, and visualizing.
Although health information privacy protection is highly regulated (e.g., HIPAA), there lacks a consistent and efficient model for developing software systems involving electronic medical records (EMRs). I am interested in designing securiy models and developing patient-centric privacy preserving software systems, such as secure medical image repositories, secure health information exchange platform, etc.
It is imperative to have tools and software designed and developed using informatics principles to support clinical and clinical research activities. Past and ongoing large-scale national efforts such as the Cancer Biomedical Informatics Grid (caBIG) and the CTSA program have explicitly focused on increasing the clinical research capacity and have served to increase attention on clinical research related biomedical informatics activities.
I am intersted in building comprehensive clinical trails management systems, from electronic IRB submission and review systems, clinical trail budgeting tools (CLARA), to subject registration (C3PR), study calendar managment, participant recruitment, and electronic data capture, etc.
*all papers that have downloadable pdf links are my personal copies...