Virginia Rosenberger, BA
Ginny es coordinadora de investigación clínica en el Laboratorio de Modulación Cerebral. Se graduó del MIT en mayo de 2021 con una licenciatura en ciencias cognitivas y cerebrales y una licenciatura en escritura. Como estudiante, realizó una investigación en Cognición del Desarrollo en el Laboratorio de Cognición de la Primera Infancia del MIT.
Timeline
Here are a few of my highlights since joining the Brain Modulation Lab!
JUNE 2023
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June 2023: Hezekiah joins the Brain Modulation Lab (BML)
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June 2023: Creates data strategy for lab and begins building technology stack
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June 2023: Launches Jira workspace for data management and project tracking
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June 2023: Begins management of data governance and documentation for NIH Data Management and Sharing Policy
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June 2023: Launches Data Needs survey to build a backlog of all lab data needs
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June 2023: Presents dashboarding vision with Tableau and Dash at BML Lab Meeting
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June 2023: Ongoing restoration of BML Turbo in collaboration with neurosurgical resident Dr. Nathan Sisterson
JULY 2023
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July 2023: Tasked with scrubbing into operating room (OR) to build ongoing expertise of surgical procedures and protocols
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July 2023: Conducts discovery phase of functional neurosurgery data ecosystem
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July 2023: Early prototypes of Airflow clinical data pipelines and data streaming in Apache Flink
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July 2023: Creates PAS group and provisions access to Radiology Imaging and Research Patient Data Registry (RPDR)
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July 2023: Start of pediatric epilepsy racial disparity project with neurosurgery
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July 2023: Develops latent variable modeling approach to clinical neurosurgical data
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July 2023: Attends the ROH Young Investigators Meeting at MIT
AUGUST 2023
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August 2023: Launches automated review process for faster access to lab data and computational resources
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August 2023: Tasked with clinical oversight of epilepsy intake and movement disorder cases
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August 2023: Enables high-performance computing (HPC) for lab with ERIS collaboration
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August 2023: Overseeing BML Turbo Taskforce dedicated to restoring outages on BML Turbo
SEPTEMBER 2023
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September 2023: Adds new standard operating procedures (SOPs) for data management and introduction to HPC
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September 2023: Deploys new pipelines for cluster health tracking and identity access management (IAM)
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September 2023: Presents review of CEBRA AI model at Kanwisher Lab meeting
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September 2023: Appointed as lead on pediatric epilepsy disparity project by Dr. Mark Richardson
OCTOBER 2023
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October 2023: Leads BML collaboration with DABI USC for publication of human intracranial data
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October 2023: Configures private lab group on ERIS with data mapping and centralized storage for HPC
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October 2023: Creates data pipeline from REDCap API to internal patient-specific databases
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October 2023: Hezekiah gives virtual talk with University College London (UCL) Medical students
NOVEMBER 2023
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November 2023: Validation of latent variable modeling with pediatric epilepsy cohort
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November 2023: Launches the Data Warehouse Taskforce for project management
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November 2023: Finalizes cost optimization and strategy for migration to AWS
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November 2023: Implements new security protocols on all lab servers for data integrity
DECEMBER 2023
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December 2023: Deploys new policies and pipelines for intracranial data sharing with MIT
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December 2023: Begins pilot of automated data backups and derivatives to AWS
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December 2023: Launch of quarterly project tracking with Qualtrics Reporting under direction of Dr. Mark Richardson
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December 2023: Completed rebuild of remote Linux server for development of MMVT
JANUARY 2024
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January 2024: Creates InBRAIN Vision data repository for Kanwisher Lab on DABI containing human intracranial data
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January 2024: Begins cognitive neuroscience training at MIT through funding from Kanwisher Lab
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January 2024: Start of intracranial category selectivity project with Kanwisher Lab
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January 2024: Renews Epic certification, completes MGB training in interventional neurology and statistical genomics
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January 2024: Attends the iEEG Data Blitz hosted by Mass General Neurosurgery
FEBRUARY 2024
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February 2024: Major milestone in transforming lab data into BIDS format
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February 2024: Begins design of MGH-MIT graduate intracranial seminar with MIT and HMS faculty
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February 2024: Coordinates regular uploads to MGH and MIT data sharing repos on DABI
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February 2024: Populates private NoSQL databases for all patients enrolled in active research studies
MARCH 2024
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March 2024: Conducts periodic code and documentation review with follow-up facilitated by Dr. Mark Richardson
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March 2024: Expansion of pediatric epilepsy cohort for neurosurgical disparity project
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March 2024: Presents preliminary research findings from initial pediatric epilepsy cohort
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March 2024: Deploys real-time data pipelines of clinical patient data from Epic for dashboarding
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March 2024: Presents functional prototypes of real-time clinical neurosurgical dashboards in Tableau
APRIL 2024
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April 2024: Pilots new data pipelines for measuring post-op neurosurgical outcomes in DBS patients
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April 2024: Leads migration of on-prem setup to AWS On Demand for scaling clinical infrastructure
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April 2024: Acquires Azure OpenAI Studio to integrate generative AI (e.g. ChatGPT) with precision medicine
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April 2024: Brainstorming session for MGH-MIT graduate intracranial seminar course
SEPTEMBER 2024
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September 2024: Coordinating launch of InBRAIN human intracranial neuroscience course at MIT
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September 2024: Additional semester of training in deep learning and causal inference at MIT
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September 2024: Establishes longitudinal models for pediatric epilepsy outcomes data
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September 2024: Makes headway on deep matrix factorization of ventral visual stream with Kanwisher Lab
OCTOBER 2024
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October 2024: Adds new intracranial datasets to DABI for Fedorenko Lab and Kanwisher Lab
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October 2024: Meets with BCS faculty to discuss computational interface for Spring 2025 course
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October 2024: Designs infrastructure of model learning on multi-site ECoG data for component finding
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October 2024: Receives honorable mention at 2024 MIT Prize for Open Data
NOVEMBER 2024
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November 2024: Proposal of human intracranial neuroscience course to MIT Education Committee
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November 2024: SOP for preprocessing of InBRAIN human intracranial data in Brainstorm
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November 2024: Latest release of InBRAIN human intracranial repo on DABI
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November 2024: Presents DeepBreath algorithm at the highly-selective 2024 MIT Policy Hackathon
Future highlights will be posted below!