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Dr. Rebecca McGill-Wilkinson is an education researcher with two decades of experience designing and implementing evaluation and research projects. She has extensive expertise in a broad range of impact and implementation evaluation approaches, including quasi-experimental designs, randomized control trials, survey design and analysis methods, systematic evidence reviews, and measure development. Her work includes evaluations of federal education policies, including the Every Student Succeeds Act (ESSA) and the Bipartisan Safer Communities Act (BSCA). With a background in developmental psychology, she has contributed to systematic evidence reviews for both the Administration of Children and Families and the U.S. Department of Education. McGill-Wilkinson is the author of numerous peer-reviewed articles and book chapters on a range of topics and has delivered over 40 conference presentations and invited talks in academic and practice settings and is a prolific blog author.

In this month’s episode, Abt experts Jill Berkowitz and Sung-Woo Cho discuss how machine learning can amplify our work combatting malaria—25 million people protected to date—by applying what we’ve learned to other infectious diseases.

Lisanne F. Brown has more than 20 years of experience in public health evaluation and research and a background in epidemiologic and program evaluation methods. She has worked on numerous evaluation and applied research studies for local, state and federal agencies. Her areas of expertise include maternal and child health, health care access, integration of primary care and behavioral health, community-centered health homes, social determinants of health, mixed methods evaluation design and implementation, survey design, and evaluation capacity building.

How do we defeat tuberculosis? With sustainable solutions. With support from the private sector. With data.