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Cosimo Arnesano

  • Assistant Professor of Clinical Data Sciences and Operations

Cosimo Arnesano is a multidisciplinary scientist and scholar with a breadth of knowledge spanning the fields of biology and biochemistry, physics and optics, statistics and data science, electronics, biomedical imaging, and business, project and operations management. He holds a Ph.D. in Energy and Environmental Engineering, a Ph.D. in Biomedical Engineering, and an MBA with concentrations in business analytics and operations and supply chain optimization.

Currently, Dr. Arnesano is an assistant professor of Clinical Data Sciences and Operations at USC Marshall School of Business, where he teaches several undergraduate and graduate courses in data mining and business analytics, project and operations management, spreadsheet modeling and ML/AI applied to business processes. Moreover, Dr. Arnesano has several years of industry experience. He worked for ThermoFisher Scientific as Strategy Manager for about three years, and for Zeiss Microscopy as Account Manager for about one and a half years.

Cosimo Arnesano
Press Inquiries: COMMUNICATIONS@MARSHALL.USC.EDU

Areas of Expertise

Analytics
Artificial Intelligence (AI)
Corporate Strategy
Healthcare Analytics
Machine Learning
Operations Management
Statistics
Stochastic Modeling

Departments

Data Sciences + Operations

NEWS + EVENTS

COURSES

Spring 2024
  • BUAD-315
    Basics of Project and Operations Management for Non-Majors
    Introduction to tools and methods for the design, production, and delivery of goods and services. Techniques for planning, monitoring, and controlling complex projects. Not available for degree or major credit for business and accounting majors. Duplicates credit in BUAD 311 and BUAD 313.
  • DSO-427
    Spreadsheet Modeling for Business Insights
    Application of decision analysis, simulation and optimization techniques to managerial problems. Learn how to create and present useful spreadsheet models to analyze practical business problems. Recommended Preparation: BUAD 310g or BUAD 312g.
  • DSO-570
    The Analytics Edge: Data, Models, and Effective Decisions
    Decision making under uncertainty using real data applying the most advanced optimization, statistical and probability methods. Duplicates credit in former IOM 570.
  • DSO-536
    Monte Carlo Simulation and Decision Models
    Application of Monte Carlo simulation to determine a range of outcomes for all possible courses of action. Application of Excel simulation.
  • DSO-593
    Independent Research in Data Sciences or Operations
    Independent research beyond normal course offerings. Proposal, research and written report/paper required. Graded CR/NC.
Fall 2023
  • BUAD-310
    Applied Business Statistics
    Statistical methods for business analysis; data exploration and description; sampling distributions; estimation; hypothesis testing, simple and multiple regression; model building. Extensive computer applications. (Duplicates credit in BUAD 312 and the former ITP 251.)
  • DSO-599
    Special Topics
    Selected topics reflecting current trends and recent developments in data sciences, operations management, supply chain management and/or decision support systems.
  • DSO-528
    Blended Data Business Analytics for Efficient Decisions
    Build Analytical Models for Classification, Clustering and Association Problems. Leverage third party "Big Data" for enriching and monetizing data. Develop data mining and business analysis.
  • DSO-593
    Independent Research in Data Sciences or Operations
    Independent research beyond normal course offerings. Proposal, research and written report/paper required. Graded CR/NC.