Waganesh Zeleke is associate professor of mental health counseling at Duquesne University in Pittsburgh, Pennsylvania. She is a licensed clinical professional counselor and a nationally certified counselor. She serves as an associate editor for Frontiers in Education: Special Educational Needs and as guest editor for different journals. Zeleke published more than 35 scholastic articles in peer-reviewed journals on various topics, including autism in Africa, mental health disparity, child and family relationships, international adoption, trauma and immigrant health.
Waganesh Zeleke
Associate professor
Duquesne University
From this contributor
Remembering Zemi Yenus: An ambassador for autism in Africa
Zemi Yenus was the mother of a child with autism, founder of Ethiopia’s first school for autistic children and a tireless advocate for autism awareness and research in Africa.
Remembering Zemi Yenus: An ambassador for autism in Africa
By
Rosa Hoekstra, Andy Shih, Bethlehem Tekola, Waganesh Zeleke
15 June 2021 | 13 min read
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Jill Adams
14 April 2026 | 2 min read
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
By
Erin Calipari
14 April 2026 | 5 min read
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
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Juan Gallego
13 April 2026 | 8 min read