Welcoming <i>Headache</i> 's 2024 incoming class of Assistant Editors
Bibliographic record
Abstract
The editorial leadership team at Headache is pleased to announce our fourth incoming class of Assistant Editors. These trainees will join us from several cities in the United States, Canada, and China to make up the newest members of our junior editorial board. During their upcoming 2-year term, they will be mentored by Headache's senior editorial staff, and they will have the chance to build lasting and meaningful relationships with established scholars in the headache field. Via didactic and hands-on learning, they will become proficient in peer review and publication processes and understand current issues in scholarly publishing. They will have the chance to make their mark on Headache manuscripts and the opportunity to develop programs and/or projects to further propel Headache into the future. We look forward to working with these outstanding young professionals and nurturing them in their careers at Headache and beyond. Dr. Wei Dai is a postdoc at the Headache Center, Department of Neurology, in the Chinese PLA General Hospital. She applied graph theory and deep-based methods on functional magnetic resonance imaging and explored the underlying pathophysiology and neuroimaging signatures in migraine and medication-overuse headache. She has published journal articles in Annals of Neurology, Nature Communications, Cephalalgia, and The Journal of Headache and Pain. She received her MD in Neurology from the Chinese PLA Medical School and was a joint MD student at Harvard Medical School. Dr. Carolina Guillot is originally from Miami, FL (where she was born and raised on croquetas, cafecito, and pan Cubano). She is currently an adult neurology resident at the University of Colorado in Denver. Headache medicine is her passion within neurology. Before pursuing medicine, she was a cartoonist with her own Etsy store that sold original handmade greeting cards. Outside of work, she loves to be out in the sunshine, spend time with friends, and watch scary movies. Dr. Sina Marzoughi is a graduating adult neurology resident at the University of British Columbia (UBC) where he served as Chief Resident. He completed a Bachelor of Science, Honors, in neuroscience at the University of Alberta and medical school at the University of Calgary prior to moving to Vancouver, BC for his residency. Dr. Marzoughi has a strong interest in headache medicine as well as clinical research in headache. He will be completing a clinical research fellowship in headache with Dr. Peter Goadsby at King's College London. Dr. Minali Nigam is a senior neurology resident at Mass General Brigham and will be starting her headache fellowship at the John R. Graham Headache Center at Brigham and Women's Faulkner Hospital. She completed her undergraduate studies at Duke University. She graduated from UNC Hussman School of Media and Journalism and UNC School of Medicine, where she was a member of the AOA and Gold Humanism Honors Society. During medical school, she was a reporter for North Carolina Health News and CNN. As a physician–journalist, she hopes to share stories that raise public health awareness and make medical knowledge accessible to diverse audiences. She enjoys yoga, running, exploring new restaurants, and spending time outdoors with family. Dr. Meghan Piccinin is currently a headache medicine fellow at the Cleveland Clinic Neurologic Institute. She obtained her undergraduate and master's degrees from the University of Western Ontario, focusing on cell biology, pharmacology, and pathology before completing medical school at Michigan State University and neurology residency at the University of Pittsburgh Medical Center. She will be starting as neurology faculty with Allegheny Health Network in Pittsburgh later this summer, 2024. She has particular interests in the pathophysiology and epidemiology underlying headache disorders, drug development, and health-care economics. She enjoys skiing, mountain biking, and circus fitness in her free time. Dr. Kevin Spiegler hails from New Jersey. He received his undergraduate degree from Rutgers University, where he graduated summa cum laude. He then completed the MD/PhD program at Rutgers New Jersey Medical School. His doctoral work focused on associative learning deficits in both mild traumatic brain injury and anxiety vulnerability. Currently, Dr. Spiegler is a neurology resident at New York University, where he is serving as chief education resident in his final year of training. He is excited to pursue a headache fellowship at the John R. Graham Headache Center at Brigham and Women's Faulkner Hospital this upcoming academic year. He enjoys playing and watching sports, playing guitar, and traveling in his free time. Sarah M. Bobker: Conceptualization; writing – original draft; writing – review and editing. Sarah M. Bobker declares no conflicts of interest.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.088 | 0.066 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".