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05 Rojo, Javier

  1. Research Interests Javier Rojo MS Statistics -- Stanford University PhD Statistics -- University of California at Berkeley 1. Statistical Decision Theory 2. Empirical Processes 3. Bioinformatics, Biostatistics, Survival Analysis 4. Multivariate Methods -- Dimension reduction -- Random Matrices 5. Extreme Value Theory -- Levy Processes -- Environmental Applications 6. Modeling of the Power Grid -- Reliability Theory 7. Partial Orderings of Distribution Functions -- Heavy-Tailed behavior 8. Ordered Restricted Inference Some of my favorite books: The death of Ivan Ilych -- Tolstoy Crime and Punishment -- Dostoevsky El Laberinto de la Soledad -- Octavio Paz Sor Juana Ines de la Cruz -- Octavio Paz God’s Equation -- Amir Aczel
  2. LIVER TRANSPLANTATION 14:1125-1132, 2008 ORIGINAL ARTICLE Analysis of Recent Pediatric Orthotopic Liver Transplantation Outcomes Indicates That Allograft Type Is No Longer a Predictor of Survivals Natasha S. Becker,1 Neal R. Barshes,1 Thomas A. Aloia,1 Tuan Nguyen,2 Javier Rojo,2 Joel A. Rodriguez,1 Christine A. O’Mahony,1 Saul J. Karpen,3 and John A. Goss1 1 Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston TX; 2Department of Statistics, Rice University, Houston, TX; and 3Department of Pediatrics, Section of Gastroenterology, Hepatology, and Nutrition, Children’s Hospital, Houston, TX
  3. ALLOGRAFT TYPE FOR PEDRIATIC LIVER TRANSPLANTATION 1129 A 100 p=NS % Patient Survival WLT patient survival, adjusted % Figure 1. (A) Adjusted 1-year 95 patient survivals by liver allo- % Survival WLT LDLT graft type (patients < 12 years of age). The solid line repre- LDLT sents whole liver allografts (n 659), the small dashed line DDSLT CSLT represents living donor liver SEG 90 transplants (n 189), and the large dashed line represents deceased donor segmental liver transplants (n 412; P values for pairwise compari- sons: LDLT versus WLT, 0.52; 85 DDSLT versus LDLT, 0.30; and WLT versus DDSLT, 0 2 4 6 8 10 12 0.08). The y axis shows surviv- Months after OLT time after OLT (months) als reported from 85% to 100%. (B) Adjusted 1-year allo- B graft survivals by liver allo- 100 graft type (patients < 12 years p=NS of age). The solid line repre- Patient Survival sents whole liver allografts (n 95 589), the small dashed line djusted % represents living donor liver transplants (n 168), and the % % Survi val large dashed line represents 90 Allograft deceased donor segmental graft survival, a LDLT liver transplants (n 382; P LDLT values for pairwise compari- 85 sons: LDLT versus WLT, 0.42; WLT WLT DDSLT versus LDLT, 0.07; and WLT versus DDSLT, 0.17). The y axis shows surviv- CSLT 80 DDSLT als reported from 75% to SEG 100%. Abbreviations: DDSLT, deceased donor segmental 75 liver transplantation; LDLT, living-donor liver transplanta- 0 2 4 6 8 10 12 tion; OLT, orthotopic liver transplantation; WLT, whole Months after OLT time after OLT (months) liver transplantation.
  4. The Lehmann Symposia -- Optimality Javier Rojo, Chair and Organizer First -- held at CIMAT Guanajuato Mexico, May 2002 Second -- held @ Rice University, May 2004 Third -- held @ Rice University, May 2007 FOURTH -- venue TBA, May 2010 Edited the first two volumes of the Symposia -- IMS LNMS Currently Editing the third volume Support from The National Science Foundation Pfizer, MSRI, SAMSI, MD Anderson Cancer Center, UT Health Science Center Houston, Rice Statistics Department is gratefully acknowledged
  5. Pan-American Advanced Studies Institute Javier Rojo, PI Organizer and Chair 1. Travel support for Grad Students, Postdocs, Young faculty 2. Travel to CIMAT (Center for Mathematical Research) 3. Cutting-edge program in a) Bioinformatics, Biostatistics, Survival b) Multivariate Methods -- Dimension reduction c) Statistical finance -- Levy Processes Supported by The National Science Foundation
  6. Pan-American Advanced Studies Institute Semana de bioinformatica, bioestadistica, analysis de supervivencia Javier Rojo -- Chair Rudy Guerra (Rice) Rafael Irrizarry (Johns Hopkins) Claudia Rangel (Instituto Nacional de Medicina Genetica - INMEGEN) Javier Rojo y Jose Luis Batun (Universidad de Yucatan) Tuan Nguyen (Rice) Semana en Metodos de Reduccion de Dimension Javier Trejos -- Chair Hadley Wickham & Yin Zhang (Rice) Mario Villalobos Javier Trejos (Universidad de Costa Rica) Alex Murillo Eduardo Piza (Universidad de Costa Rica) Tuan Nguyen (Rice) Alex Murillo (Universidad de Costa Rica) Metodos Matematicos y Estadisticos en Finanzas Daniel Hernandez -- Chair Begona Fernandez (UNAM) Daniel Hernandez (CIMAT) Jaime San Martin (Universidad de Chile) Jose Enrique Figueroa (Purdue) Ernesto Mordecki (Universidad de la Republica, Uruguay) Supported by The National Science Foundation
  7. RICE UNIVERSITY SUMMER INSTITUTE OF STATISTICS Javier Rojo, Director http://www.stat.rice.edu/~jrojo Application/Information for summer 2009 will be posted by November 20. Deadline for applying is March 15th. Support from The National Science Foundation The National Security Agency is gratefully acknowledged
  8. Summer activities include outings to: • NASA, MD Anderson Cancer Center • Astros games • Lunch with various groups • International travel to beautiful El Salvador and Mexico
  9. Other student activities Stacey E. Ackerman 2005 SACNAS - 2nd Place Oscar Rojo, Neeraj Pradhan, Jonathan Skowera, Karl Calderon Posing by the Astronauts Flight Simulators -- NASA Juan Gallegos 2004 SACNAS Juan is now PhD student At the Texas Health Science Center in Houston
  10. SUMMER 2009 Students will spend 2 to 3 weeks in Centro de Investigacion en Matematicas Participation in the PanAmerican Advanced Studies Institute (NSF funded) 1. Dimension Reduction 2. Biostatistics/Bioinformatics, Survival Analysis, Statistical Genetics 3. Stochastic Processes, Levy Processes, Mathematical Finance
  11. SUMMER 2009 Colonial Guanajuato will be the venue for the PanAmerican Advanced Studies Institute RUSIS Students will have an opportunity to participate in great technical and networking sessions
  12. Other Interests …..
  13. Favorite quotation: It can also be pointed out that data-driven knowledge may, in some instances hinder theoretical developments. A case in point is Einstein’s cosmological constant. Here are two excerpts from “God’s Equation” by Amir D. Aczel. “So Einstein did what seemed right to him –he ignored what his theory told him, and sought to change the theory to suit the reality he saw: a static universe that somehow doesn’t fall inwards to its center.” And “… Einstein would never be able to live down its creation. The cosmological constant would haunt him for the rest of his life.” JR
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