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PhD in Epidemiology Student
Julie C.

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Hourly Rate: $40

About Julie


Bio

Hello! I'm currently a Ph.D. student in Epidemiology with a Master of Public Health in Environmental and Occupational Health (minor in Human Health Risk Assessment) and a Bachelor of Science in Environmental Policy, Institutions, and Behavior (minor in Sustainability). Over the past 5 years, I've worked in epidemiological research studying consumer product exposures, PFAS, cancer, and cardiometabolic health. Through this work, I've gained extensive experience in epidemiology, environmental...

Hello! I'm currently a Ph.D. student in Epidemiology with a Master of Public Health in Environmental and Occupational Health (minor in Human Health Risk Assessment) and a Bachelor of Science in Environmental Policy, Institutions, and Behavior (minor in Sustainability). Over the past 5 years, I've worked in epidemiological research studying consumer product exposures, PFAS, cancer, and cardiometabolic health. Through this work, I've gained extensive experience in epidemiology, environmental health, toxicology, study design, scientific literature, and research methods.
In addition to research, I've enjoyed teaching and mentoring students. As a teaching assistant for a graduate-level Environmental and Occupational Toxicology course, I helped master's students build a strong understanding of core toxicology concepts, including dose-response relationships, absorption, distribution, metabolism, excretion, chemical carcinogenesis, and developmental toxicology. Working with students one-on-one and in small groups showed me how valuable it is to explain difficult concepts in a clear, approachable way.
As a tutor, my goal is to help students truly understand the material rather than simply memorize it. I tailor each session to the student's needs, whether that means reviewing coursework, preparing for exams, or developing effective study strategies. I believe every student learns differently, so I adapt my teaching style to meet them where they are and help them build confidence alongside their knowledge. Whether you're taking your first public health course or tackling graduate-level epidemiology or toxicology, I'm excited to help you achieve your academic goals.


Policies

  • Tutor’s lessons: In-person
  • Hourly Rate: $40
  • Travel policy: Within 40 miles of Pasadena, CA 91101
  • Lesson cancellation: 1 hours notice required
  • No background check

  • Your first lesson is backed by our Good Fit Guarantee

Schedule

Julie hasn’t set a schedule.


Approved Subjects

Biostatistics

Biostatistics

I have completed graduate coursework in biostatistics and statistical courses for population health sciences and have applied this knowledge in conducting research (5+ years experience). I have a strong understanding of the following biostatistics approaches/methods: parametric/nonparametric comparison tests (paired/unpaired t-tests, wilcoxon signed rank, ANOVA, Kruskal-Wallis), tests of association (Pearson/Spearmans correlation, chi-square test, fisher exact test) tests of homogeneity (Pearson chi-square, Mantel-Haensel test), regression modeling (types: linear, logistic, profit, poisson, cox, mixed effect models; assessing model assumptions: linearity, independence, normality, equal variance; coefficient interpretations), mixtures modeling (quantile, g-computation and BKMR), model fit tests (likelihood ratio test, Pearson/ hosmer-lemeshow goodness of fit tests), sensitivity and specificity analyses (positive negative predictive values, ROC curves, AUC), as we all as statistical software for performing statistical analyses: R (primary expertise), SAS, and STATA.
Epidemiology

Epidemiology

I have completed 4 years of epidemiology coursework during my masters and doctoral training. I am knowledgeable in public health principles and methods, including: hypothesis testing, study designs, sampling strategies, data collection, questionnaire/survey design, measures of effect and association, measurement error, selection bias, information bias, confounding, effect modification, censoring, data cleaning, statistical analysis (correlation, regression modeling, ANOVA, survival analysis, etc.), and scientific writing.
Precalculus
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