Mohammed Ali Alvi

• Developed and implemented customized strategies to automate clinical and healthcare data capture and structuring.
• Developed and implemented new procedures to facilitate business growth. In particular, provided guidance on use of administrative healthcare, and commercially available claims databases.
• Provided advice on operational processes, business development initiatives, organizational changes and other areas of improvement pertaining to Bioinformatics analyses.
• GWAS analysis and prediction of polygenic risk associated alleles for development of personalized medicine biomarker through machine learning.
• Created comprehensive reports on project progress and results for clients.

• Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets
• Applied statistical and algebraic techniques to interpret key points from gathered data to create key performance indicators for physician performance
• Extracted and assessed data from databases to drive improvement of product development and business strategies and processes for physician scoring
• Provided guidance on establishing an infrastructure for capturing patient outcomes.

Medical Writing

• Wrote and published peer-reviewed articles pertaining to traumatic and non-traumatic spinal cord injury.
• Authored and reviewed regulatory documents including IRB protocols, scientific proposals, grant proposals.
• Authored and reviewed investigational new drug (IND), and statistical analysis plans.

Outcomes Research Using Advanced Biostatistics, Data Science & Machine Learning

• Led several research projects pertaining to surgical outcomes and quality of life outcomes for patients undergoing surgery for traumatic and non-traumatic spinal cord injury
• Performed several secondary data analyses using advanced biostatistics, data to investigate drivers of outcomes synthesized from previous clinical trials.

Evidence Based Medicine (EBM)

• Synthesized Clinical Practice Guidelines (CPGs) using GRADE guidelines and evidence based medicine (EBM) principles for use of Neuromonitoring to detect and prevent intraoperative SCI
• Also synthesized CPGs for Sacro-iliac Joint (SIJ) diagnosis and intervention as part of the NASS (North American Spine Society) Evidence Based Medicine Committee.

Computational Biology/Bioinformatics

• Used spinalcordtoolbox and Google Collab JuPytR to investigate role of multiparametric quantitative MRI and radiomics for prognostication and understanding of outcomes of patients with traumatic and non-traumatic SCI.

• Provided analytic consultancy on projects related to healthcare analytics, utilizing big data resources including claims data from Center for Medicare and Medicaid Services (CMS) and Other Claims Databases
• Investigated the trends and disparities in utilization of treatment types for patients with lung cancer using advanced biostatistics.

• The registry is aimed at providing national benchmarks for SRS treatments to provide clinicians and patients the data required to make informed treatment decisions The registry objectives are to:1) Define national patterns of care in radiosurgery; 2) Improve healthcare outcomes and support informed decision-making; 3) Explore the potential to lower the cost of care delivery to patients
• Published our inaugural manuscript in collaboration with participating sites investigating factors associated with local failure of patients with intracranial metastasis in Journal of Neurosurgery (JNS)
• Investigated factors associated with intracranial progression (using RECIST criteria) among patients with intracranial metastasis, with a focus on role of radio-surgical parameters as covariates
• Advanced predictive modeling and cut-off analyses were used to identify key drivers and thresholds of radiosurgical parameters
• Investigated the quality of life of patient with intracranial metastasis after stereotactic radiosurgery (SRS) using predictive logistic regression modeling.

• The QOD Tumor Registry follows patients receiving surgery for most primary and metastatic intracranial tumors
• The registry collects patient demographics, presenting symptoms, comorbidities, histological diagnosis, operative characteristics including approach and use of surgical adjuncts, intraoperative and postoperative complications, hospital stay, 30-day readmission, recurrent surgery, progression and mortality
• The registry also collects patient-reported outcomes (PROs) measuring cognition impairment, physical function, QALY and cognitive function after surgery
• Led a team of 6 research fellows in developing the registry, including registry structure, data variables, collection plan and analyses efforts
• Audited clinical data to verify feasibility of capture and confirm data validity
• Supervised communication to partners and donors
• Culminated the findings of pilot phase of the registry in a manuscript.

Medical Writing

• Wrote and published peer-reviewed articles pertaining to traumatic and non-traumatic spinal cord injury.
• Authored and reviewed regulatory documents including IRB protocols, scientific proposals, grant proposals.
• Authored and reviewed investigational new drug (IND), and statistical analysis plans.
• Created a practice dashboard for the Departments of Neurosurgery and Enterprise in collaboration with data visualization expert which automated real time updates regarding case volume, surgical outcomes, and practice patterns from the enterprise-wide neurosurgical cases registry
• Incorporated a predictive model using real-time data to predict risk of readmission and surgical complication
• Supervised up to 8 research fellows, and guided several medical and undergraduate students in ensuring adherence to IRB protocols, GMP and GCP guidelines, and executing several research projects
• Using claims data to investigate drivers and regional patterns of cost and outcomes for patients undergoing spine surgery in collaboration with OPTUM Labs Data Warehouse (OLDW)
• Drafted and submitted grant proposals for acquiring funding for the CELLTOP trial, securing funding from Mayo Clinic Transform the Practice (TTP), Regenerative Medicine Minnesota (RMM), and Minnesota Office of Higher Education (MNOHE)
• Performed the analysis and drafted the manuscript for the pilot patient case report in our CELLTOP trial
• Investigated the molecular and histopathological biomarkers of spinal high-grade gliomas in collaboration with and funded by the Department of Anatomic Pathology using Next Generation Sequencing (NGS)
• Investigated the effect of bed turnover rate on adverse events using a marginal structural model, funded by the Critical Care Research Committee
• Continued to work on biomechanical analysis for Facet Joint Replacement (FJR) Device
• Performed range of motion analysis with the prototype designs of our FJR device in collaboration with the Motion Analysis Laboratory
• Investigated the molecular underpinning of black disc disease, using next generation mRNA sequencing and computational analysis, in collaboration with Department of Orthopedics, funded by the Mayo Clinic Center for Individualized Medicine
• Conceptualized and launched a project to perform image segmentation for developing a deep-learning based predictive model to assess grade of lumbar spondylolisthesis using MRI images
• Mentored up to 30 medical students, international resident fellows, and summer research students to execute research projects in the realm of surgical outcomes, healthcare economics and spinal cord injury
• Responsible for concept development; acquisition, manipulation, and analyses of data; manuscript writing and journal submissions
• Led the protocol development and launch of our pre-clinical study investigating the efficacy of umbilical cord stem cells for spinal cord injury in a rat contusion model, funded by the Sabes Foundation
• Collaborated with IACUC and IRB on implementing animal safety protocols and best practices guidelines
• Supported protocol specialist and a research fellow in the development of Investigational Device Exempt for CELLTOP
• Worked with legal and IRB to implement compliance strategies and patient safety
• Performed multiple systematic reviews and meta-analyses on outcomes of minimally invasive spine surgery
• Performed background research on device market and feasibility of performing biomechanical analysis for a Facet Joint Replacement Device, in collaboration with the Mayo Clinic Department of Engineering, funded by the Mayo Clinic Innovation Accelerator Program.

• The Quality Outcomes Database (QOD) registries serve as a continuous national clinical registry for the most common neurosurgical procedures and provides individual surgeons, practice groups, hospitals, and healthcare systems with an immediate infrastructure for analyzing and reporting on the quality of their care
• Coordinated data collection efforts across 12 clinical sites for the QOD Grade I Spondylolisthesis Study and across 14 clinical sites for the QPD Cervical Spondylotic Myelopathy (CSM) study
• Analyzed data and prepared manuscripts, culminating in 22 publications in high-tier neurosurgery journals on various topics ranging from comparative efficacy research, comparing the outcomes of decompression alone and decompression and fusion for spondylolisthesis, to socioeconomic disparity research such as comparing the outcomes of patients on Medicaid with those on other insurances.