Dr. Florence George
Professor in Statistics
Dept. Of Mathematics & Statistics
Florida International University
Miami, Florida - 33199
Ph 305-348-3021
Email: fgeorge@fiu.edu

Florence George  joined FIU as an Assistant Professor of Statistics in August 2007, soon after she graduated with her PhD in Statistics from the University of South Florida. She completed her M.S in Statistics at Mahatma Gandhi University, M. Phil. in Statistics  at Cochin University of Science & Technology and Post Graduate Diploma in Computer Science & Applications at the University of Kerala, all in India.

Dr. George began her career as a Research Associate at the Central Plantation Crops Research Institute (CPCRI), Govt. of India.  After two years at CPCRI, she joined Marian College, a leading institution under Mahatma Gandhi University, as a Lecturer(UGC) in Statistics.  She worked at Marian College for five years before moving to the University of South Florida.

Florence’s scholarship and research centers on Applied Statistics, Distribution Theory and Biostatistics. She has more than 60 publications in peer-reveiwed  journals and has served in numerous Masters and PhD committees. She is proficient in many programming languages, databases and editors like R, SPlus, SAS, SPSS, Oracle, Mat Lab, Latex and MS office, with proven record of certifications in SAS and Oracle.

Fall 2024 Courses  (Login to Canvas for syllabus, Notes, Announcement etc..)

STA 6244

Education

• Ph.D.  (Statistics), Department of Mathematics and Statistics, USF, Tampa, FL, USA

• M. Phil.  (Statistics), Cochin University of Science and Technology, India

• Post graduate Diploma (Computer Science & Applications), University of Kerala, India

•  M.Sc.  (Statistics), Mahatma Gandhi University. India

Research Interests

• Applied Statistics
• Biostatistics
• Statistical Modeling
• Statistical inference, Distribution theory, Goodness of fit

Publications List

Certifications

• SAS certified professional - SAS Institute .
• Oracle DBA – SQL and PL/SQL – Oracle Corporation
• Oracle DBA  - Architecture and Administration – Oracle Corporation
• National Eligibility Certificate for Lectureship in Colleges/ Universities, - University Grant  Commission (UGC), India

Software Proficiency: R, SAS, S-Plus, SPSS, Minitab, Matlab, Latex, MS office etc.

Research Experience

•  Biostatistician, Moffitt Cancer Centre Research Institute , Tampa, Florida, USA   May 2004 – May 2006
•  Research Associate (Statistics and Computer Science), Central Plantation Crops Research Centre and  Institute (Govt. of India),   Dec 92 – Aug 95

Teaching Experience

• Aug 2023-till date : Professor in Statistics,  Department of Mathematics & Statistics, Florida International University, Miami, Florida, USA.
• Aug 2014-Aug 2023 : Associate Professor in Statistics,  Department of Mathematics & Statistics, Florida International University, Miami, Florida, USA.
• Aug 2007-Aug 2014: Assistant Professor in Statistics,  Department of Mathematics & Statistics, Florida International University, Miami, Florida, USA
• Aug 2002 - Jul 2007 : Teaching Assistant, Department of Mathematics and Statistics, University of South Florida, USA
• Aug 1995 – Nov 2000: Lecturer,  Department of Statistics, Marian College, Mahatma Gandhi University, India

Courses Taught at FIU

•  STA 6176 -  Biostatistics
• STA 6636 - High Dimensional Data Analysis
• STA 6196 - Statistics for Environmental Science
• STA 6166- Statistical Methods for Research I
• STA 6244  Data Analysis I
• STA6247 - Data Analysis II
• STA 5206, STA 5126, STA 4202 - Design of Experiments
• STA 4321 - Mathematical Statistics I
• STA 4322 - Mathematical Statistics II
• STA 3163 - Statistics Methods I
• STA 3164 - Statistics Methods II
• STA 3193 - Statistics I for QBIC
• STA 3194 - Statistics II for QBIC
• Summer workshop on Statistical modeling for QBIC
• STA 3033 - Introdution to Probability and Statistics  for Computer Sciences
• STA 3111 - Statistics I (both online and face-to-face)
• STA 2122 - Introduction to Statistics I (face-to-face, online & hybrid)
• STA 2023 - Statistics for Business and Economics (both online and face-to-face)