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Assistant Data

Location:
Stanford, California, United States
Salary:
150,000-180,000
Posted:
January 11, 2018

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Resume:

Eric J. Daza, Dr.P.H.

Stanford Prevention Research Center 510-***-****, ac3z76@r.postjobfree.com

Stanford University School of Medicine pro les.stanford.edu/ericjdaza Medical School O ce Building, X3C16 linkedin.com/in/ericjdaza 1265 Welch Road, Mail Code 5411 researchgate.net/pro le/Eric J Daza Stanford, CA 94305-5411, USA github.com/ericjdaza

Contact

Information

Dr.P.H. (Biostatistics), The University of North Carolina at Chapel Hill. 2007{2015. Dissertation: Longitudinal Regression Conditioning on Continuation Committee: Michael G. Hudgens (Advisor), Amy H. Herring (Co- advisor), Linda S. Adair, Stephen R. Cole, John S. Preisser, Jr. M.P.S. (Applied Statistics), Cornell University. 2001{2002. B.A. (Neurobio. & Behavior, Cog. Studies), Cornell University. 1996{2000. Education

Industry Suggestic. San Francisco Bay Area, CA. Consultant. Jan 2017 { present. Experience

Correlate for Acne. San Francisco Bay Area, CA. Consultant. Feb { Dec 2016. Rho, Inc., Chapel Hill, NC. Graduate Research Assistant. Sep 2007 { Jul 2009. Drafted summary table, gure, and listing speci cations. Validated analysis-dataset structure using speci cations. Conducted planned and exploratory statistical anal- yses. Validated data analyses, data displays, and written text. Identi ed and trou- bleshot missing data. Maintained documentation of analysis and validation proce- dures. Assisted with the preparation of statistical reports. Supergen, Inc., Dublin, CA. SAS Programmer / Biostatistician. Sep 2002 { Aug 2007. Conducted post-study statistical analyses and enforced data standards using SAS. Reviewed, cleaned, and managed clinical data. Produced o cial clinical report g- ures. Reviewed and authored SOPs. Kept up-to-date on statistical techniques, FDA guidelines, and company SOPs. Assisted Biostatistics Director with review of statis- tical methodology.

Academic Stanford Prevention Research Center (SPRC), Stanford University, Stanford, CA. Experience Postdoctoral Research Fellow. Oct 2015 { present. (Mentor: Michael Baiocchi, PhD.) Study Biostatistician. Jul 2016 { present. (PI: Judith Prochaska, PhD.) Trains in data-analytic and machine-learning methods, and methodological research in causal inference. Collaborates within academic and non-academic projects by providing statistical consultation and programming solutions. Carolina Population Center (CPC), UNC Chapel Hill, Chapel Hill, NC. Graduate Research Assistant / Data Programmer & Biostatistician. May 2010 { Sep 2015. Performed data management and cleaning, and statistical programming in Stata and SAS. Assisted faculty, post-doc, graduate, and undergraduate researchers with statistical concepts, methods, and software implementation. Survey Research Unit (SRU), UNC Chapel Hill, Chapel Hill, NC. Research Assis- tant. Jun 2009 { Jun 2010. (Advisor: William Kalsbeek, PhD) Collaborated with SRU Director and primary researchers in recommending and ap- plying survey sampling methods. Prepared and presented summary reports to pri- mary researchers. Provided statistical programming support in SAS and SUDAAN. 1 of 2 Eric J. Daza

Papers, Presentations/Posters, & Projects. 16 papers (10 published), 8 presenta- tions/posters. Projects: Co-investigator & biostatistical consultant (Stanford: Epidemi- ology), biostatistical collaborator (Stanford Med: General Medical Disciplines), study biostatistician (SPRC), research assistant (UNC Chapel Hill). Media coverage (3 items).

(Details at \https://cap.stanford.edu/pro les/viewCV?facultyId=71544name=Eric%20J. Daza".) Honors,Methodology Statistical

Awards, &

Grants

Principal Investigator

Improving personalized medicine through n-of-1 causal inference and predictive modeling (N1.CPM). Stanford Center for Clinical and Translational Research and Education (Spectrum) Pilot Grant for Population Health Sciences. 1 May 2017 { 30 Jun 2018. $26,000.

Technical Analysis

Skills

Statistics: causal inference, single-subject study design/analysis, longitudinal/panel analysis, missing data (selection bias from attrition, censoring, truncation), gener- alized estimating equations, mixed/random e ects, Bayesian inference, survey sam- pling, time series, survival/time-to-event

Statistical Learning: association rule mining, principal components analysis, multi- nomial classi cation

Programming

R, Stata, SAS, SUDAAN, Mplus

MembershipsMemberships &

Affiliations

American Statistical Association

Health Data Exploration Network

American Public Health Association

American Association for the Advancement of Science A liations

Quanti ed Self, Open Humans, PatientsLikeMe

Other Skills & Musical Performance, Composition, & Production: Piano (34 years), electric bass Interests (14 years), certi ed concert pianist, vocal performance & production for \A Statistical New World".

Student Theatre: Technical & production work, acting, and administration & man- agement (6 years).

Physical Activity: Rock climbing (8 years), Krav Maga (1 year). Languages: Tagalog/Filipino (native), Spanish (beginner/intermediate). Lorene Nelson, PhD (ac3z76@r.postjobfree.com) co-PI (N1.CPM) Michael Baiocchi, PhD (ac3z76@r.postjobfree.com) mentor (postdoctoral) Michael G. Hudgens, PhD (ac3z76@r.postjobfree.com) advisor (dissertation) Amy H. Herring, ScD (ac3z76@r.postjobfree.com) co-advisor (dissertation) Valerie Flax, PhD (

ac3z76@r.postjobfree.com) collaborator

Patrick J. Smith, PhD, MPH (ac3z76@r.postjobfree.com) colleague Professional

References

2 of 2 Eric J. Daza



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