Photo of Dr. Louise Lawson

Dr. Louise Lawson

Lab Director

Dr. Lawson says combining teaching and research in Human Studies Lab projects is the fulfillment of a long-time dream. Back in the olden days when she went to graduate school for a PhD in epidemiology, a main reason for going was to be able to teach to a wider range of students. While in graduate school, she discovered a passion for research.

In 20 years of experience in medical research, Dr. Lawson has over 40 publications in the medical literature on topics ranging from pulmonary function to pain to obesity to influenza to preterm infant growth, to name a few. She has received grant funding for all these projects, among others. Her choice of topic is dictated by the clinicians who come to her with problems to be solved. This approach has been extremely successful over the years. According to Google Scholar, her publications have been cited over 3,700 times. She has an h-index of 26 and an i-10-index of 31.

Google Scholar profile

Photo of Dr. Nicole Ferguson

Dr. Nicole Ferguson

Lab Co-Director

Dr. Ferguson brings her geek superpowers as a PhD biostatistician and R programmer to keep the Human Studies Lab running smoothly. Her early research focused on developing methods for estimating nonparametric multistate models with truncated and censored data and applying new and existing methods to real medical data. In 2013, her research focus shifted to preterm infant growth as she created growth curves on BMI for preterm infants. She and Dr. Lawson developed new methods for creating gender-specific BMI curves. The resulting publication of the curves was fast tracked for publication at Pediatrics. She is first author on a subsequent paper addressing the choice of BMI as the best measure of body proportionality in preterm infants. She designed and conducted the analysis for that project, which illustrated why previous research had reached an incorrect conclusion about the best measure of body proportionality. She is a founder and long-time organizer of KSU’s popular R-Day. Her background in biostatistical methods, statistical programming, medical research and event planning uniquely qualifies her to be a driving force within the lab.

Google Scholar Profile