Stanford University
Showing 241-260 of 1,022 Results
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Koosha Nassiri Nazif
Affiliate, Program-Pop, E.
BioDr. Koosha Nassiri Nazif received his Ph.D. in Electrical Engineering (Jan 2022) and his M.S. in Mechanical Engineering (2016) from Stanford University. Along the way, he worked at Apple (2019) on OLED/LCD displays and at HP Labs (2017) on 3D electronics thermal management. He is currently a post-doctoral scholar at Stanford developing novel flexible optoelectronic devices, including solar cells and wearable sensors, based on 2D transition metal dichalcogenides. https://www.arinna.xyz.
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Adi Natan
Staff Scientist, SLAC National Accelerator Laboratory
Current Role at StanfordPrincipal investigator, Stanford PULSE Institute
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Arutselvan Natarajan
Senior Research Scientist - Basic Life, Rad/Molecular Imaging Program at Stanford
Current Role at StanfordSenior Scientist
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Fateme (Fatima) Nateghi
Postdoctoral Scholar, Biomedical Informatics
BioAs a postdoc researcher at the Division of Computational Medicine, I find myself at the exciting intersection of machine learning and healthcare. My journey began with a PhD in Biomedical Sciences from KU Leuven in Belgium, where I explored the complexities of machine learning algorithms and their transformative potential in clinical settings. My research focused on adapting these algorithms for time-to-event data, a method used to predict when specific events may occur in a patient’s future.
At Stanford, my work centers on building trustworthy AI systems to enhance healthcare delivery. I develop and evaluate machine learning models that integrate structured electronic health records (EHRs) and unstructured clinical notes to support real-world clinical decision-making. My recent projects include predicting treatment retention in opioid use disorder, improving antibiotic stewardship for urinary tract infections, and enabling digital consultations through large language models (LLMs). I'm particularly interested in embedding-based retrieval and retrieval-augmented generation (RAG) methods that help bridge cutting-edge AI research with clinical practice.
My role involves not just advancing the integration of machine learning in healthcare but also collaborating with a diverse team of clinicians, data scientists, and engineers. Together, we're striving to unravel complex healthcare challenges and ultimately improve patient outcomes. -
Kalpana Isabel Nathan
Adjunct Clinical Professor, Psychiatry and Behavioral Sciences
BioKalpana Nathan, MD is an adjunct clinical professor, Psychiatry and Behavioral Sciences at the Stanford University School of Medicine. After completion of residency and research fellowship at Stanford, she served 4 years at the San Francisco General Hospital/UCSF, gaining experience in the areas of substance use, HIV and public health. She worked at Palo Alto VA for more than a couple of decades. She served as chief medical director at Mental Health and Addiction services, El Camino Health for two and a half years, and later was the Executive Medical Director of Custody Behavioral Health at Santa Clara County. She is a certified physician executive. She has worked and taught in various settings, both inpatient and outpatient, as well as private and public sectors. She is board certified in General, Addiction and Forensic Psychiatry, as well as Lifestyle Medicine. Her interests include wellness and self-care for physicians, women's health, health creation and resiliency building for the community. She is a certified meditation teacher, has completed sprint and Olympic triathlons, and enjoys traveling around the world. She received the outstanding community clerkship preceptor award in 2010 and the Arthur L. Bloomfield Award in Recognition of Excellence in the Teaching of Clinical Medicine in 2015 at the Stanford University School of Medicine.
Recent Publications:
1. Yen Li, M, Mata C, Nathan K: Is Life Unlivable for Youth in Post-DEI America?: Understanding Rising Suicide Rates Across Diverse Youth Groups Through Traditional Suicide Paradigms. Healthcare 2025 Oct, 13(20), 2585 https://doi.org/10.3390/healthcare13202585
2. Tran BX, Nguyen TT, Boyer L, Fond G, Auquier P, Nguyen HSI,Ha Thi Nhi Tran HTN, Nguyen HM, Choi J, Le HT, Latkin CA, Nathan KI, Husain SF, et al: Differentiating people with schizophrenia from healthy controls in a developing country: An evaluation of portable functional near infrared spectroscopy (fNIRS) as an adjunct diagnostic tool. Frontiers of Psychiatry 2023 Jan 26; vol 14
3. Tatum, J, Nathan, K: The USA. Lancet Psychiatry 2021, 8(5):365-366
4. Nathan N & Nathan KI: Suicide, Stigma, and Utilizing Social Media Platforms to Gauge Public Perceptions. Front. Psychiatry 2020 January 13
5. Tran BX, Nathan KI, Phan HT, Hall BJ, Vu GT et al: A Global Bibliometric Analysis of Services for Children Affected by HIV/Acquired Immune Deficiency Syndrome: Implications for Impact Mitigation Programs (GAPRESEARCH). AIDS Rev. 2019 Oct 3;21(3).
6.Lee A, Nathan KI: Understanding Psychosis in a Veteran With a History of Combat and Multiple Sclerosis. Fed Pract. 2019 Jun;36(Suppl 4):S32-S35.
7. Tran BX, Ha GH, Vu GT, Nguyen LH, Latkin CA, Nathan K, McIntyre RS, Ho CS, Tam WW, Ho RC: Indices of Change, Expectations, and Popularity of Biological Treatments for Major Depressive Disorder between 1988 and 2017: A Scientometric Analysis. Int J Environ Res Public Health. 2019 Jun 26;16(13)
