Sneha K Verma

Oakland, CA ***** 410-***-**** adg0h4@r.postjobfree.com Linkedin.com/in/snehaver2009/

CAREER SUMMARY

• Biomedical engineer with 7+ years of experience with healthcare data modeling and integration for clinical and non- clinical environments

• Experience in clinical study design, result analysis and reporting

• Deep knowledge of clinical workflow analysis and implementing improvement plans

• 7+ years of DICOM, HL7, PACS, decision support systems and knowledge discovery

• Expertise with electronic health records, non-structured multimedia, wearable and bio-sensors data

• Expertise in handling longitudinal study data collection design, modeling and warehousing experience

• Developed predictive models based on advanced machine learning techniques. Designed clinical decision support algorithm using data driven informatics.

• Proven proficiency of applying imaging informatics framework for clinical informatics in variety of applications

• Full-Stack development experience with different application, user roles and research goals.

• Experienced with applying of machine learning and artificial intelligence methods for clinical problems. AREAS OF EXPERTISE

• Clinical trial design

• Clinical informatics

• Radiation therapy

• Metadata Creation

• Clinical data processing

• Workflow Analysis

• Medical imaging informatics

• Decision support systems

• Knowledge discovery

• Team Leadership

• Project Management

• ETL

• Data integration

• Electronic patient records (EPR)

• Hospital information systems (HIS)

• Data visualization/ Reporting

• DICOM / PACS / FHIR

• Dashboards

PROFESSIONAL EXPERIENCE

Sr Clinical Research Scientist Abbott Diabetes Care, Alameda, CA Nov’19 – Sept’20

• Responsible for data analysis activities related to clinical testing, evaluation and verification of components and the integrated systems

• Responsible for developing project plans and following specialized procedures in executing experiments, evaluation and documentation of results.

Lead Data Scientist Expy Health, Los Angeles, CA July’19 – Nov’19

• Algorithm development, clinical informatics, and data science services.

• Human movement data collection and analysis. Movement algorithm development. Research design and applying statistical methods.

Data Science Summer Associate Medtronic Diabetes, Northridge, CA May’16 – Aug’16

• Advanced data modeling on diabetes related datasets such as medical device data, patient contextual data, as well as Electronic Medical Records data to create new knowledge to further understand diabetes management.

• Developed predictive models based on advanced machine learning techniques. Designed clinical decision support algorithm using data driven informatics.

Distributed and Mobile Computing Summer Associate Xerox Research Center, Bangalore, India May’15 – Aug’15

• Fine-grained Activity Classification and Context Inference using Wearable Sensors. Developed machine learning algorithms for movement classification.

Sr. Research Assistant Johns Hopkins School of Medicine, Baltimore, MD, USA April’10 – July’11

• Worked on database creation and management and data analysis using variety of standard statistical techniques including regression, longitudinal data analysis and nonparametric analyses using SAS and STATA. EDUCATION

PhD Biomedical Engineering University of Southern California, Log Angeles, CA, USA Thesis: Human Performance analytics platform based on medical imaging informatics MS Computer Science Engineering Johns Hopkins University, Baltimore, MD, USA Thesis: Photoacoustic Imaging for Prostate Brachytherapy Seed Localization BE Biomedical Engineering SGSITS, Indore, MP, India TECHNICAL PROFICIENCIES

• Python

• SQL

• MATLAB

• PHP

• JS

• JAVA

• C++

• Programming R

• DICOM

• Adobe Photoshop

• HL7

• SR

• FHIR

• Hadoop

• MapReduce

• WEKA

• Hive

• React Native

RESEARCH EXPERIENCE

• Human Performance analytics platform based on medical imaging informatics. Applied concepts of data integration of electronic medical records, with multimedia and wearable sensor data in the field of human performance analytics with biomechanics research groups

• Developed standards processing of raw multimedia data for effective data mining and structure reporting

• Informatics systems for decision support in neurological classifications of pain in spinal cord injury patients

• Applied Bayesian methods of machine learning on data set collected from VA Spinal Cord Injury Center, Long Beach for treating pain in spinal cord injury patients utilizing proton beam radiotherapy

• Imaging informatics system to for clinical trials focused on animal studies

• Knowledge-driven decision support in radiation therapy for head and neck cases

• Web-based DICOM data object viewer for analyzing optimal treatment plans in head and neck cancer patients. PUBLICATIONS

• Multimedia data handling and integration for rehabilitation research, at Imaging Informatics for Healthcare, Research, and Applications at SPIE 2019

• Medical imaging informatics-based solutions for human performance analytics at Imaging Informatics for Healthcare, Research, and Applications at SPIE 2018

• The development of a decision support system with an interactive clinical user interface for estimating treatment parameters in radiation therapy in order to reduce radiation dose in head and neck patients at Imaging Informatics for Healthcare, Research, and Applications at SPIE 2017

• Selected to be presented at Advanced PACS-based Imaging Informatics, and Therapeutic Applications at SPIE 2016, Poster Title: “Multi-disciplinary data organization and visualization models for clinical and pre-clinical studies: A case study in the application of proton beam radiosurgery for treating spinal cord injury related pain”.

• Honorable Mention Poster Award for Advanced PACS-based Imaging Informatics, and Therapeutic Applications at SPIE 2015 for Poster Title: “An imaging informatics-based system to support animal studies for treating pain in spinal cord injury patients utilizing proton beam radiotherapy”.

• Cum Laude Poster Award for Advanced PACS-based Imaging Informatics, and Therapeutic Applications at SPIE 2014 for Poster Title: “An imaging informatics-based system utilizing DICOM objects for treating pain in spinal cord injury patients utilizing proton beam radiotherapy”.

• “A web-based neurological pain classifier tool utilizing Bayesian decision theory for pain classification in spinal cord injury patients.” at Advanced PACS-based Imaging Informatics, and Therapeutic Applications at SPIE 2014

• “A multimedia system for decision support in neurological classification of pain in spinal cord injury patients” Advanced PACS-based Imaging Informatics, and Therapeutic Applications at SPIE 2013

• “Imaging Informatics System Utilizing DICOM Objects for Treating Pain in Spinal Cord Injury Patients Utilizing Proton Beam Radiotherapy” [Demo] at Radiological Society of North America (RSNA) 2013

• Best poster award at SPIE 2010 in Ultrasonic Imaging and Signal Processing conference, Poster Title: “Prostate brachytherapy seed localization using combined photoacoustic and ultrasound imaging”

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