Work with thought leaders and academic experts in public health environmental occupational health

I am a highly motivated individual with expertise in various artificial intelligence (AI) tools, including machine learning (ML) and natural language processing (NLP). Over the course of my academic and professional career, I have developed a strong skill set in these areas, and have applied them to various domains, including mental health. At Clarigent Health, I have played a key role in developing and improving machine learning models that analyze patient speech to identify mental health concerns such as depression, anxiety, and suicide risk. In addition, I have been the principal investigator on a NIMH SBIR grant investigating machine learning model performance across different patient characteristics and settings. Moreover, I have experience in developing and implementing customer-facing dashboards using tools like PowerBI, which enable clients to interact with and derive insights from complex data sets. Through my work at Clarigent Health, I have been able to leverage my expertise in ML, NLP, and other AI-related tools to drive innovation and improve mental health outcomes through data-driven solutions.

Dr. Savannah Lokey is a clinician-scientist with a passion for research and helping others. She received her Bachelor of Science in Psychology from Arizona State University in 2015, followed by a Master of Arts in Psychology in 2017 and Doctor of Philosophy in Clinical Psychology in 2023 from the University of Illinois at Chicago. Dr. Lokey has gained valuable experience in the field of clinical psychology and social neuroscience through various positions. She served as an Intramural Research Training Fellow (IRTA) at the National Institute of Mental Health, where she conducted research on how a rare genetic disorder (Moebius Syndrome) affects emotion processing and underlying neurocircuitry. She also worked as a Research Associate at Rush University Medical Center, where she focused on the social neuroscience of schizophrenia and bipolar disorder. She uses many techniques in her research, including fMRI, ecological momentary assessment (EMA), survey research, and passive smartphone sensor data. In addition to her research experience, Dr. Lokey has also received clinical training in various settings. She completed a predoctoral internship in the Major Mental Illness track at the University of California Los Angeles, where she provided psychotherapy and assessment services to individuals with severe mental illness (schizophrenia, bipolar disorder, etc.). She has deep knowledge about evidence-based interventions and principles of behavioral change, including Cognitive Behavioral Therapy (CBT), Acceptance and Commitment Therapy (CBT), trauma therapy, exposure therapy, cognitive remediation, and social skills training. Dr. Lokey is dedicated to using her knowledge and skills to improve the lives of individuals struggling with mental health issues. She is committed to expanding research on these conditions and developing and testing new treatment approaches in the field of psychology. In her free time, she enjoys hiking, reading, and spending time with her family and friends.

·   Highly productive scientist with 13 years of multidisciplinary experience in toxicology, molecular nutrition, and aging/ disease biomarkers ·   Excellent communicator with proven record of advanced writing and presentation skills - manuscripts, conference presentations, and grants ·   Extensive experience in large study design, supervision and coordination, big data analysis, and management of junior scientists

Dr. Zhou is an Assistant Professor in the Department of Public Health at Wayne State's CLAS. Her research uses mixed methods to understand and address the mental health needs of emerging adults and college student populations with particular focus on underserved populations, including students of color, international students, and sexual and gender minorities. Dr. Zhou’s broader research portfolio combines varied methodological approaches to identify the mechanisms that perpetuate mental health disparities, including in-depth qualitative work and large-scale epidemiological surveys.  Dr. Zhou is also a co-investigator of the [Healthy Minds Network](https://healthymindsnetwork.org/), a research-to-practice network dedicated to improving the mental and emotional wellbeing of young people through innovative, multidisciplinary scholarship. She received her Ph.D. in Health Services Organization and Policy at the University of Michigan School of Public Health, where she was a Center for Research on Ethnicity, Culture, and Health (CRECH) Scholar. <br> <br>

**During my career as an ecologist, I have established myself as an international authority on plant-pollinator interactions, with more than 20 peer-reviewed publications, more than 20 invited presentations, and research collaborations across 19 countries. My projects have taken me from the farmland of Ohio to the rooftops of Philadelphia to the endangered grasslands of Europe. Along the way, I have developed advanced skills in Bayesian statistics, causal inference, and scientific writing.**

Dr. Everson A Nunes is a highly accomplished researcher and educator in the field of physiological sciences. He received his Ph.D. in Cellular and Molecular Biology with a focus on Physiological Sciences from Universidade Federal do Paraná in 2009, after completing a BSc in Human Nutrition and an MSc in Physiological Sciences. He also holds a specialization in Exercise Physiology and a BSc in Biological Sciences from Universidade Federal do Paraná. Dr. Nunes has a strong background in research, having completed two post-doctoral fellowships at McMaster University and Universidade Federal do Paraná. He has also held positions as an associate professor and assistant professor at Universidade Federal de Santa Catarina. He has published numerous articles in peer-reviewed journals, and his research focuses on the effects of exercise and nutrition on physiological processes in the human body. In addition to his research, Dr. Nunes is also a dedicated educator. He has taught at various universities in Brazil, including Universidade Federal de Santa Catarina, Universidade Gama Filho, Faculdades Integradas Espírita, Pontificia Universidade Católica do Paraná, and Faculdade do Litoral Sul. He is known for his dynamic teaching style and his ability to engage students in complex physiological concepts. Dr. Nunes is a member of several professional organizations, including the American Society for Nutrition, the Canadian Society of Exercise Physiology, the Canadian Nutrition Society and the Brazilian Society of Physiology. He is also a regular speaker at national and international conferences, sharing his expertise and research findings with colleagues and students. Overall, Dr. Nunes is a highly qualified and experienced professional in physiological sciences, metabolism, cancer and nutrition. His dedication to research and education makes him a valuable asset to any institution.

Results-oriented and internationally experienced project manager, consultant, and researcher with a passion for leveraging machine learning and advanced statistical techniques to solve intricate challenges in international marketing and consumer behavior. Demonstrated track record of driving strategic initiatives, cultivating cross-border partnerships, and delivering tangible impacts on revenue generation. Highly adaptable to rapidly evolving technologies and market trends. Aiming to apply my expertise to lead transformative projects and elevate organizational success on a global scale. **Research and publication overview** · Authored 36 peer-reviewed journal publications (data analytics, international business, marketing) · Authored and edited 8 business books, published by *Palgrave Macmillan* and *Springer* · Published 5 teaching cases with *SAGE* and *Ivey* · Research impact (Google Scholar): h-index of 17 with 1,000+ citations **Competences in data analysis (selected)** · Supervised: Neural networks, deep learning · Unsupervised: Kohonen self-organizing maps · Frequentist and Bayesian regression analysis · Multilevel (hierarchical) modeling · Exploratory and confirmatory factor analysis · fs/QCA \| HLM \| SPSS \| JASP \| Python\, incl\. Keras\, Dalex