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{htmlcomment} {table:border=0|width=620px}{tr} {td:width=5%|valign=top|height=700px} {td} {td:width=80%|valign=top} h2. First LAST h4. Academic Background: * 20XX - present • MIT, ESD: PhD student in Engineering Systems * YYYY • Institution, Department: MS in discipline * YYYY • Institution, Department: BEng in discipline h4. Work Experience: * 20XX - 20XX • Company • City, Country \\ Title: short job description. * 20XX - 20XX • Company • City, ST \\ Title: short job description. * 20XX - 20XX • Company • City, Province, Country \\ Title: short job description. h4. Research Domain: research domain in lower case h4. Research Methodology: research methodology in lower case, next research methodology h4. Research Description: Jane's research focuses on writing a third-person, present-tense sentence or paragraph about her research. {htmlcomment} h4. Publications: * Last1, First1, First2 Last2, and First3 Last3. "Long Technical Title: Pithy Subtitle." [available here|link_to_online_publication_if_available]. _Journal:_ YYYY, 42-48. {htmlcomment} {td} {td:align=right|valign=top}   !last.jpg|thumbnail! [Personal web site|http://web.mit.edu/sheffi/www/] [Professional web site|http://www.nae.edu/26755.aspx] {td}{tr}{table}


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Abigail HORN

Academic Background:

  • 2012 - present • MIT, ESD: PhD student in Engineering Systems
  • 2009 - 2010  • MIT Portugal Program: Advanced Studies Degree in Bioengineering Systems
  • 2003 - 2007  • College of Creative Studies, University of California, Santa Barbara: BA in Physics

Work Experience:

  • 2012 • Santa Fe Institute Complex Systems Summer School 
  • 2009 - 2010 • Rotary Club Ambassadorial Scholar, Lisbon, Portugal
  • 2009 • Cold Springs Harbor Laboratory, Research Fellow
  • 2007 - 2009 • Harpist • New York, New York

Research Domain:

public health impact of low-probability, high-consequence events

Research Methodology:

probabilistic inference, bayesian networks/network analysis

Research Description:

Abby’s PhD research focuses on improving the capability to trace contaminated foods back to providers and forward to consumers to facilitate faster, more accurate tracing of contamination sources during large-scale, multi-state food contamination outbreaks. Current investigative methods are slow, resource intensive, and constrained by incomplete manually collected data. Her research seeks to improve outbreak traceability by developing implementable algorithms that identify the highest probability source of contamination in the most efficient manner, given realistic limitations on data availability.

View Abby's Problem Framing Talk: October 2013

Publications:

  • Cismondi, F., Horn, A.L., Fialho, A. S., Vieira, S. M., Reti, S. R., Sousa, J., & Finkelstein, S. (2012). Fuzzy Multi-­‐‑criteria decision-­‐‑making to improve survival prediction of ICU septic shock patients. Expert Systems with Applications.

  • Horn, A.L., F. Cismondi, A. Fialho, S.M. Vieira, J.M. Sousa, S. Reti, M. Howell, S. Finkelstein. Multi--Objective Performance Evaluation Using Fuzzy Criteria: Increasing Sensitivity Prediction for Outcome of Septic Shock Patients. Proceedings of the 18th International Federation of Automated Control (IFAC) World Congress, Volume 18, Part 1, Milan, Italy, August 2011.

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