Bioinformatics and Medical Informatics

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Graduate Information

OFFICE: South Life Science 373
TELEPHONE: 619-594-5371
E-MAIL: skelley@sdsu.edu

Faculty

Director: Scott T. Kelley, Professor of Biology (Ph.D.)

Tenured and Tenure-Track Faculty:

Andrew J. Bohonak, Professor of Biology, Assistant Dean for Student Services, Policy and Curriculum, Graduate and Research Affairs (Ph.D.)

Nader Amir, Professor of Psychology (Ph.D.)

Willa L. Fields, Professor of Nursing (D.N.Sc.)

Lluvia Flores-Renteria, Professor of Biology (Ph.D.)

Scott T. Kelley, Professor of Biology (Ph.D.)

Susan M. Kiene, Professor of Public Health (Ph.D.)

Sunil Kumar, Professor of Electrical and Computer Engineering (Ph.D.)

Richard A. Levine, Professor of Statistics (Ph.D.)

David A. Lipson, Professor of Biology (Ph.D.)

Hala N. Madanat, Albert W. Johnson Distinguished Professor and Director of School of Public Health (Ph.D.)

Georg E. Matt, Professor of Psychology (Ph.D.)

Chunting C. Mi, Professor and Chair of Electrical and Computer Engineering (Ph.D.)

Ralph-Axel Müller, Professor of Psychology (Ph.D.)

Claire Murphy, Professor of Psychology (Ph.D.)

Yusuf Ozturk, Professor of Electrical and Computer Engineering (Ph.D.)

Forest L. Rohwer, Professor of Biology (Ph.D.)

Mahawseta Sarkar, Professor of Electrical and Computer Engineering (Ph.D.)

Anca M. Segall, Professor of Biology (Ph.D.)

Usha Sinha, Professor of Physics (Ph.D.)

Gregory A. Talavera, Professor of Psychology (M.D.)

Faramarz Valafar, Professor of Public Health (Ph.D.)

Elizabeth R. Waters, Professor of Biology (Ph.D.)

Tao Xie, Professor of Computer Science (Ph.D.)

Ricardo M. Zayas Ventura, Professor of Biology (Ph.D.)

Robert W. Zeller, Professor of Biology (Ph.D.)

Ashkan Ashrafi, Associate Professor of Electrical and Computer Engineering (Ph.D.)

Jong-Deuk Baek, Associate Professor of Public Health (Ph.D.)

Barbara Ann Bailey, Associate Professor of Statistics (Ph.D.)

B. Mikael Bergdahl, Associate Professor of Chemistry and Biochemistry (Ph.D.)

Marina Kalyuzhnaya, Associate Professor of Biology (Ph.D.)

Chii-Dean Lin, Associate Professor of Statistics (Ph.D.)

Xiaobai Liu, Associate Professor of Computer Science (Ph.D.)

John J. Love, Associate Professor of Chemistry and Biochemistry (Ph.D.)

Ksenija Marinkovic, Associate Professor of Psychology (Ph.D.)

Manal A. Swairjo, Associate Professor of Chemistry and Biochemistry (Ph.D.)

Wei Wang, Associate Professor of Computer Science (Ph.D.)

Erica Forsberg, Assistant Professor of Chemistry and Biochemistry (Ph.D.)

Antoni Luque Santolaria, Assistant Professor of Mathematics (Ph.D.)

Dwayne R. Roach, Assistant Professor of Biology (Ph.D.)

Melody Schiaffino, Assistant Professor of Public Health (Ph.D.)

Jeet Sukumaran, Assistant Professor of Biology (Ph.D.)

Matthew E. Verbyla, Assistant Professor of Civil, Construction, and Environmental Engineering (Ph.D.)

Jillian L. Wiggins, Assistant Professor of Psychology (Ph.D.)

Xiaofeng Xu, Assistant Professor of Biology (Ph.D.)

Emeritus:

Thomas E. Novotny, M.D., (2009-2015), Professor of Public Health

Mahmoud Tarokh, Ph.D., (1990-2019), Professor of Computer Science

Adjunct Faculty

University of California, San Diego:

Antonino Catanzaro, Professor of Pulmonary Health (M.D.)

Lucila Ohno-Machado, Professor of Medicine (M.D., Ph.D.)

Timothy Rodwell, Associate Professor of Pulmonary Health (M.D., Ph.D., M.P.H.)

Hyeon-Eui Kim, Assistant Professor of Biomedical Informatics (Ph.D, M.P.H., R.N.)


La Jolla Institute for Allergy and Immunology:

Bjoern Peters, Center for Infectious Disease (Ph.D.)

Anjano Rao, Signaling and Gene Expression Research (Ph.D.)


VA Hospital:

Alan Calvitti, System Biology (Ph.D.)

General Information

Bioinformatics and Medical Informatics (BIOMI) are multidisciplinary fields at the intersection of computing and informatics, mathematics and statistics, biology, chemistry, and engineering.

The explosion in genomic information and in the elucidation of pathways of various types has created an unprecedented, but largely unmet, need for professionals with a working knowledge of the biological sciences and computing/statistical methods. The shortage, which is especially severe in the biotechnology and pharmaceutical industries, has been documented by various studies and discussed in the press. We can also observe a comparable demand in hospital and other clinical settings as the impact of new technologies spreads into clinical research and medical practice.

Research and development (R&D) in BIOMI can be categorized into one of three branches. The first branch is the algorithm development branch in which R&D specialists use mathematical and engineering techniques to develop new, more efficient, and/or more accurate methods to mine biological or clinical data. The second branch falls within the software engineering paradigm and primarily focuses on R&D in human-computer interface. The third branch seeks to find answers to specific biological or medical questions including drug development or working to uncover the underlying mechanisms involved in specific biological systems or specific diseases. In the first year of the program, students in consultation with their graduate adviser will take basic courses within two of the following four disciplines: biology, chemistry, computer science, and mathematics/statistics.

For specialization in the algorithm development branch, students can choose courses and projects in areas such as statistics, data mining, pattern recognition, artificial intelligence, search strategies, network architecture, digital image processing and advance imaging, modeling, decisions systems design, and analytical studies in various biological and clinical specializations. For specialization in the human-computer interface branch, students can choose courses and projects in areas such as principals of software design, human interface design, network architecture, usability studies, database design and management, computer graphics and animation, CAD, and programming languages. For the third specialization students take a combination of courses in the areas listed above plus some specialized courses such as computer aided drug design.

The change toward quantitative analysis in life and clinical sciences has been so rapid that universities have been caught unprepared: few offer suitable courses, and virtually none offer a well integrated curriculum that meets the needs that are sure to grow and evolve as life sciences become increasingly conceptual and quantitative.

San Diego State University’s BIOMI graduate program offers two related but distinct tracks. The first is a professional science master concentration preparing students for immediate productivity in industrial or clinical settings. The second is a traditional master of science preparing students for academic setting or continuation in a Ph.D. program.

Admission to Graduate Study

In addition to the general requirements for admission to the university with classified graduate standing, as described in Admission and Registration , a student must satisfy the following requirements before being considered for recommendation to enter the masters program.

1. Meet the requirements deemed equivalent to a baccalaureate degree in biology, chemistry, computer science, mathematics, statistics, or a field in engineering.
2. Be considered as capable of graduate work in bioinformatics or medical informatics by at least two references who have submitted letters to the BIOMI program director.

Students applying for admission should electronically submit the university application available at http://www.calstate.edu/apply along with the application fee.

Students who do not meet all of the above requirements for admission with classified graduate standing may be admitted with conditionally classified graduate standing upon the recommendation of the research program. Students so admitted will be advised as to the nature of their deficiency and the time to be allowed to achieve full classified graduate standing. Conditions may include satisfactory passing of certain undergraduate courses. These courses will be in addition to the minimum of 33-38 units required for the program.

Graduate Admissions

All applicants must submit admissions materials separately to SDSU Graduate Admissions and to the Bioinformatics and Medical Informatics program.

The following materials should be submitted as a complete package directly to:

Graduate Admissions
Enrollment Services
San Diego State University
San Diego, CA 92182-7416

1. Official transcripts (in sealed envelopes) from all postsecondary institutions attended;
   • Students who attended SDSU need only submit transcripts for work completed since last attendance.
   • Students with international coursework must submit both the official transcript and proof of degree. If documents are in a language other than English, they must be accompanied by a certified English translation.
2. GRE scores (http://www.ets.org SDSU institution code 4682);
3. English language score, if medium of instruction was in a language other than English (http://www.ets.org SDSU institution code 4682).

Master of Science Degree in Bioinformatics and Medical Informatics

The following materials should be mailed or delivered to:

Bioinformatics and Medical Informatics
(BIOMI) Graduate Program
(Attention: Graduate Adviser)
San Diego State University
5500 Campanile Drive
San Diego, CA 92182-7720

1. Two letters of recommendation (in sealed and signed envelopes) from persons in a position to judge academic ability.
2. Personal statement of motivating interest for the program; also briefly describe research interests and educational and professional goals.

Programs

• Bioinformatics and Medical Informatics, M.S.
• Bioinformatics and Medical Informatics, Professional Science Master Concentration, M.S.

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