Ms Tal Malka, The New School, United States.
🧠 Ms. Tal Malka is a dedicated psychology researcher with a passion for computational psychiatry and mental health innovation. Currently pursuing her MA in Psychology at The New School, she is the lead author on fibromyalgia research and a machine learning fellow. Fluent in Python, R, and SQL, she integrates data science with psychological theory. Her work spans global mental health, AI in healthcare, and behavioral research, earning her multiple scholarships and academic honors. 🌍📊🧬
Profile
ORCID ID
🎓 Early Academic Pursuits
Ms. Tal Malka began her intellectual journey with a Bachelor’s degree in Philosophy (with honors) from the Open University of Israel in 2020, concentrating on the philosophy of science. Her deep curiosity drove her to explore biology, completing four relevant courses and gaining acceptance into a master’s-level course titled “Definition of Life.” Even during high school, she demonstrated academic excellence by receiving the “Higher Education in High School” Scholarship for completing university-level courses with distinction. Her academic promise was recognized early with multiple Dean’s List honors in 2018 and 2019. 🎓✨
💼 Professional Endeavors
Ms. Malka’s professional development includes a diverse range of clinical, computational, and collaborative roles. She worked with NYC Health and Hospitals, helping the Director of Behavioral Healthcare design a staff survey to improve recruitment and retention strategies. Her leadership was evident at the Global Mental Health Lab under Professor Adam Brown, where she acted as Principal Investigator on a moral injury study related to the war in Ukraine, overseeing IRB submission and coordinating a research team. She also participated in training at leading institutions like Mount Sinai and the University of Zurich, developing skills in computational psychiatry and systems biology. 🏥🔬
🔬 Contributions and Research Focus On Psychology
Ms. Malka is at the forefront of mental health and computational psychiatry research. Her work includes the publication (in press) titled “Fibromyalgia and Depression: A Network Analysis Approach” in Behavior Therapy. She is also the lead author of an ongoing study using cluster analysis to classify patient profiles in fibromyalgia. Through this, she is building a custom cluster calculator in Excel, under the guidance of Professor Danny Horesh. Her focus merges psychology with computational techniques, striving to improve diagnostic frameworks and patient categorization in chronic illness and mental health. 🧬📊
🌍 Impact and Influence
Ms. Malka’s interdisciplinary work bridges psychology, machine learning, and public health. Her research on moral injury in Ukrainian and Russian-Americans addresses trauma on a global scale, while her participation in international workshops and fellowships demonstrates her global relevance. Her ability to integrate deep philosophical understanding with practical mental health tools enhances both academic and applied research. Her multilingual proficiency also aids in broader communication and inclusivity in research. 🌐🗣️
🧠 Research Skills
Tal demonstrates exceptional skill across research methodologies including network analysis, hierarchical and K-means cluster analysis, and machine learning (convolutional neural networks via Keras). She is proficient in Python, R, SQL, SPSS, and Excel, showcasing technical fluency that enhances the analytical depth of her studies. She has completed several IRB protocols as Principal Investigator, underscoring her understanding of ethical research practices.
🏅 Awards and Honors
Ms. Malka has been honored with the highest merit scholarship from The New School for her MA program, reflecting her academic distinction. She was a Dean’s List recipient for consecutive years at the Open University of Israel and earned two national scholarships during high school for her outstanding academic performance. These accolades highlight her sustained excellence and intellectual discipline. 🥇📖
🏛️ Legacy and Future Contributions
Ms. Tal Malka is poised to become a transformative voice in computational psychiatry and behavioral health research. Her commitment to multi-modal methodologies, global mental health, and AI-assisted diagnostics reflects her vision of a more precise and compassionate approach to psychological science. As she continues her MA at The New School and furthers her collaborations with institutions like Mount Sinai, she is laying the groundwork for innovative frameworks in mental health analysis. Her legacy will be defined by her ability to integrate data science with humanistic inquiry—a truly rare and impactful combination. 🚀🌟
Publications Top Notes
📘 “Fibromyalgia and Depression: A Network Analysis Approach”
🗞 Journal: Behavior Therapy
📅 Year: 2025
✍️ Authors: Tal Malka, Hadar Marom-Harel, Lee Frumer, Nancy Agmon-Levin, Renen Taub, Ittai Glick, Roee Admon, Shir Hanuka, Naama Peretz-Tamari, Adam Brown, et al.