Postdoctoral research fellow at Massachusetts General Hospital, Harvard Medical School, early psychosis, clinical high-risk, environment, cannabis, neuroscience
Curious about predicting clinical outcomes? New paper in @schizjournal special issue shows how multidisciplinary experts shaped the AMP #Schizophrenia analysis strategy. Explore key decisions & data-driven insights! @SIRSGlobal@NoraPenzel@poloscience https://t.co/mwHjSt15Kw
New paper revealing the intricate data operations behind the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ) project, managing data across two research networks comprising 43 international sites https://t.co/eMAY4kFnat @SIRSGlobal
Cognition is a core biomarker & key focus in the Accelerating Medicines Partnership® (AMP SCZ) initiative. Here the authors outline the rationale and harmonization of the cognitive battery #cognition#AMPSCZ@kelly_allott @Wal_yas @ScottWoods01 @PatMcGorry https://t.co/upwxzkVKdH
@NurderK@roberthabeck Und am gleichen Abend bestätigt Friedrich Merz bei #MaybritIllner: Falls die CDU wieder regiert, wird sie Prioritäten setzen und nicht alles angehen. Die Versäumnisse? Die wird dann eine spätere Regierung aufarbeiten müssen. So Merz (16:50). https://t.co/B94hA246El
Are you (or is someone you know) teaching AI / ML / Deep Learning this year? My forthcoming book (freely available at https://t.co/hqRA1xUPkk) will save you a lot of time. This thread will show you why.
🚨 NEW PAPER 🚨
We compared many tuning procedures for developing prediction models
Most important conclusion: be careful with using the popular 1-SE rule (e.g. in Ridge/Lasso) if calibration is important to you
Open access in Statistics in Medicine 👉 https://t.co/f8ogzg29UQ
In psychiatric neuroscience, AI spots hidden patterns, revealing biases or uncovering unknowns.@LindaAntonucci's team leads Italy's major AI initiative, offering a 2yr scholarship in Bari,IT to investigate explainable AI in psychiatric research. Contact us:https://t.co/55kMdFcd59
Thrilled to share that I have received a Ph.D. prize from #dgppn2023 for my doctoral thesis about "specific patterns of cannabis use as risk factors for psychosis". Grateful for the guidance and support from my supervisors @joseph_kambeitz & @koutsouleris https://t.co/lCmWS3rvLp
Putting the spotlight on a 50-year-old debate, Davidson & @WilliamTCarpen1 discuss targeted vs. maintenance antipsychotic treatment of individuals with #schizophrenia in a new article @SchizBulletin. Find out which treatment is supported by the evidence in https://t.co/M0UcEmrgct
Are you a data scientist with an interest in mental health/a psychologist with advanced data science skills? Or come from a different background but fulfill the criteria? Then join my newly established lab @KingsIoPPN with @koutsouleris!
Pls share!
#postdocposition#DataScience
@koeniglab Thank you for your great research work. I vividly remember the lecture in which you shared this experience during my bachelor studies. Although it must have been a challenging experience for you, this story was one of the inspiring milestones for me to continue a research path!
Study @psichiatriabar1 shows that cognitive &socio-cognitive #ML models transdiagnostically differentiate individuals with #BipolarDisorder & #Sz from HC, but key deficits differ between disorders. Models also identify early disorder but not at-risk stages https://t.co/t1bbYBYl8T
Excited to share our preprint using normative modeling to quantify sMRI deviations in CHR, evaluate their overlap w/ healthy variation, & links w/ symptoms & cognition! Huge thanks to @Frangougroup@RuiyangGe@enigmabrains CHR Working Group @hernaus_tweets & @MJalbrzikowski!
2 postdoctoral positions available in my group:
1. MRI reconstruction using deep learning methods that are generalizable across domains. For this position prior experience in developing new deep learning techniques or MRI reconstruction is required.