Resume-aware faculty matching

Find professors who actually fit you

Review faculty evidence in public, then use the workspace to turn your background into a shortlist, outreach, and meeting prep.

Profile-awarePaper evidenceSix agents

Philip Andrew Fisher

· Professor

Stanford University · Social and Cultural Analysis in Education

Active 1940–2025

h-index80
Citations20.7k
Papers563124 last 5y
Funding$32.3M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

See your match with Philip Andrew Fisher — sign in to PhdFit.Sign in

About

Dr. Philip Fisher is the Diana Chen Professor of Early Childhood Learning in the Graduate School of Education at Stanford University and serves as the Director of the Stanford Center on Early Childhood. His research focuses on developing and evaluating scalable early childhood interventions in communities, translating scientific knowledge regarding healthy development under conditions of adversity for use in social policy and programs. He is particularly interested in the effects of early stressful experiences on children's development and in prevention and treatment programs aimed at improving children's functioning in areas such as relationships with caregivers and peers, social-emotional development, and academic achievement. Dr. Fisher is the lead investigator of the ongoing RAPID-EC project, a national survey on the well-being of households with young children during the COVID-19 pandemic. He has developed several evidence-based interventions supporting healthy child development in the context of social and economic adversity, including Treatment Foster Care Oregon for Preschoolers (TFCO-P), Kids in Transition to School (KITS), and the Filming Interactions to Nurture Development (FIND) video coaching program for supporting parenting and early childhood care professionals. He has published over 250 scientific papers in peer-reviewed journals and has received notable awards such as the 2012 Society for Prevention Research Translational Science Award and being named a…

Research topics

  • Medicine
  • Internal medicine
  • Biology
  • Genetics
  • Cancer research
  • Radiology
  • Pathology
  • Computer Science
  • Artificial Intelligence
  • Machine Learning

Selected publications

  • GD2-CAR T cell therapy for H3K27M-mutated diffuse midline gliomas

    Nature · 2022 · 763 citations

    . Toxicity was largely related to the location of the tumour and was reversible with intensive supportive care. On-target, off-tumour toxicity was not observed. Three of four patients exhibited clinical and radiographic improvement. Pro-inflammatory cytokine levels were increased in the plasma and cerebrospinal fluid. Transcriptomic analyses of 65,598 single cells from CAR T cell products and cerebrospinal fluid elucidate heterogeneity in response between participants and administration routes.…

  • Intravenous and intracranial GD2-CAR T cells for H3K27M+ diffuse midline gliomas

    Nature · 2024-11-13 · 160 citations

    articleOpen access

    Abstract H3K27M-mutant diffuse midline gliomas (DMGs) express high levels of the disialoganglioside GD2 (ref. 1 ). Chimeric antigen receptor-modified T cells targeting GD2 (GD2-CART) eradicated DMGs in preclinical models 1 . Arm A of Phase I trial no. NCT04196413 (ref. 2 ) administered one intravenous (IV) dose of autologous GD2-CART to patients with H3K27M-mutant pontine (DIPG) or spinal DMG (sDMG) at two dose levels (DL1, 1 × 10 6 kg − 1 ; DL2, 3 × 10 6 kg −1 ) following lymphodepleting chemot…

  • MR imaging features of diffuse intrinsic pontine glioma and relationship to overall survival: report from the International DIPG Registry

    Neuro-Oncology · 2020 · 82 citations

    BACKGROUND: This study describes imaging features of diffuse intrinsic pontine glioma (DIPG) and correlates with overall survival (OS) and histone mutation status in the International DIPG Registry (IDIPGR). METHODS: Four hundred cases submitted to the IDIPGR with a local diagnosis of DIPG and baseline MRI were evaluated by consensus review of 2 neuroradiologists; 43 cases were excluded (inadequate imaging or alternative diagnoses). Agreement between reviewers, association with histone status, a…

  • Deep Learning for Pediatric Posterior Fossa Tumor Detection and Classification: A Multi-Institutional Study

    American Journal of Neuroradiology · 2020 · 75 citations

    BACKGROUND AND PURPOSE: Posterior fossa tumors are the most common pediatric brain tumors. MR imaging is key to tumor detection, diagnosis, and therapy guidance. We sought to develop an MR imaging-based deep learning model for posterior fossa tumor detection and tumor pathology classification. MATERIALS AND METHODS: = 88). There were 199 controls. Tumor histology served as ground truth except for diffuse midline glioma of the pons, which was primarily diagnosed by MR imaging. A modified ResNeXt-…

  • MRI Radiogenomics of Pediatric Medulloblastoma: A Multicenter Study

    Radiology · 2022 · 73 citations

    See also the editorial by Chaudhary and Bapuraj in this issue.

Recent grants

Frequent coauthors

  • Stewart Goldman

    Lurie Children's Hospital

    380 shared
  • Maryam Fouladi

    The Ohio State University

    372 shared
  • Ian F. Pollack

    University of Pittsburgh

    369 shared
  • Roger J. Packer

    Children's National

    361 shared
  • Girish Dhall

    University of Alabama at Birmingham

    355 shared
  • Ira J. Dunkel

    Memorial Sloan Kettering Cancer Center

    336 shared
  • Shengjie Wu

    Central South University

    335 shared
  • Rishi Lulla

    Hasbro Children's Hospital

    329 shared

Education

  • MD, Medicine

    UCSF Medical Center

  • BA, Human Biology

    Stanford University

  • MHS, School of Public Health and Hygiene

    Johns Hopkins University

Awards & honors

  • 2012 Society for Prevention Research Translational Science A…
  • 2019 Fellow of the American Psychological Society

Similar researchers at Stanford University

  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Philip Andrew Fisher

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup