FacilitatORs

Meet our FacilitatORs

An invaluable part of every INFORMS Annual Meeting, opportunities to meet, interact and connect with fellow attendees help build professional relationships that last long beyond the actual meeting. This year’s virtual meeting will be no different with unique features enabling ‘face-to-face’ conversation in groups, one-on-one chats, Q&As and more between presenters, attendees, INFORMS staff, employers and more. 

Scroll down to meet our FacilitatORs!

FacilitatORs will host small informal conversations on various floors of the Networking Lounge on topics of interest and importance to them and their meeting peers. Topics include growing areas of interest in the field, as well as issues the community is currently facing in the COVID-19 environment, including:

  • Pursuing the tenure track
  • Job search challenges during a pandemic
  • Machine-learning
  • AI and the workforce
  • Supply-chain management
  • And more!

FacilitatOR Schedule

Sunday, November 8
Time FacilitatOR Topic Networking Lounge Floor
1:30-2:30pm EST Stanley Lim Retail Operations and Ecommerce Floor 3
  Sonali Shankar Blockchain Technology Floor 4
Monday, November 9
Time FacilitatOR Topic Networking Lounge Floor
12:30-1:30pm EST Georgia (Ning-Yuan) Liu Decision-Making Floor 3
1:30-2:30pm EST Parag Siddique Job Search Challenges Floor 3
  Andrew Placona Data Science Floor 4
2:30-3:30pm EST Ali Ahmed AI and the Workforce Floor 3
  Eren Atsız Supply Chain Management Floor 4
4:30-5:30pm EST Junming Liu Machine Learning Floor 3
  Franklin Dexter Operating Room Management Floor 4
Tuesday, November 10
Time FacilitatOR Topic Networking Lounge Floor
12:30-1:30pm EST Sonali Shankar Artificial Intelligence Floor 3
  Maotong Sun Reinforcement Learning Floor 5
1:30-2:30pm EST Nafi Ahmed Research Assistantships Floor 3
  Oscar Rincón-Guevara Complex Systems Floor 4
  Mehrzad Mehrabipour Transportation Science and Logistics Floor 5
2:30-3:30pm EST Ann Campbell Vehicle Routing and Transportation Floor 3
  Donna M. Ehrlich, PhD Higher Education Changes for Technology Classes Floor 4
  Sommer Gentry Anti-Racist Teaching Practices Floor 5
3:30-4:30pm EST Li Jiang Creative Ways to Collect Data During the COVID-19 Pandemic Floor 3
  Ali Ahmed Pursuing the Tenure Track Floor 4
Wednesday, November 11
Time FacilitatOR Topic Networking Lounge Floor
12:30-1:30pm EST Amit Sansanwal Analytics Floor 3
  Parag Siddique and Ann Campbell Job Search Challenges Floor 4
1:30-2:30pm EST Andrew Placona Transplantation Floor 3
  Donna M. Ehrlich, PhD Self-Driving Vehicles Floor 4
2:30-3:30pm EST Vadim Glinskiy and Andrew Placona Supply Chain Management Floor 3
4:30-5:30pm EST Stacey Mumbower Air Transportation and the Impact of COVID-19 Floor 3
  Maotong Sun Data Science Floor 4
Thursday, November 12
Time FacilitatOR Topic Networking Lounge Floor
12:30-1:30pm EST Ayca Altay Resilience and Self-Care for Graduate Students Floor 3
  Elham Taghizadeh Industry 4.0 Floor 4
1:30-2:30pm EST Oscar Rincón-Guevara and Elham Taghizadeh Manufacturing Systems and Supply Chain Floor 3
2:30-3:30pm EST Elham Taghizadeh and Mehrzad Mehrabipour Job Search Challenges Floor 3
  Franklin Dexter Hospital Engineering Floor 4
4:30-5:30pm EST Qiyuan Deng Pursuing the Tenure Track Floor 3
  Li Jiang AI and the Workforce Floor 4
Friday, November 13
Time FacilitatOR Topic Networking Lounge Floor
12:30-1:30pm EST Yize Chen Machine Learning Floor 3
1:30-2:30pm EST Thiago Serra Growing Your Network Floor 3
  Georgia (Ning-Yuan) Liu Safety Science Floor 4
2:30-3:30pm EST Jiadong Wang and Georgia (Ning-Yuan) Liu Machine Learning Floor 3
  Mehrzad Mehrabipour Supply Chain Management Floor 4
4:30-5:30pm EST Yize Chen Robust Optimization Floor 3
  Sommer Gentry O.R. in Medicine and Healthcare Floor 4

Ali Ahmed

I am a PhD candidate in the Management Information Systems program in the Manning School of Business at the University of Massachusetts Lowell. My research interests focus on organizational issues at the intersection of information technology (IT) and business risk management. I have worked on crowdsourced vulnerability discovery, platform economy, health portals, and online reputation systems. I have publications in the proceedings of the various premier information systems conferences, including CIST, DRW, AMCIS, HICSS, and DSI. I received a BS degree in actuarial sciences & risk management from the University of Karachi, an MS degree in training & human resource development from the University of Wisconsin–Stout, and an MS degree in information systems with a specialization in data management from Dakota State University.

During my FacilitatOR sessions, I’ll be leading discussions on AI and the Workforce (Monday, November 9, 2:30-3:30pm EST on Floor 3) and Pursuing the Tenure Track (Tuesday, November 10, 4:30-5:30pm EST on Floor 4).

Watch my presentation, “Organizational Learning In Crowdsourced Vulnerability Discovery,” on November 11, at 2pm EST.

Nafi Ahmed

I am currently pursuing my M.Sc. in Industrial and Production Engineering from Bangladesh University of Engineering and Technology (BUET). I am also working as a lecturer in the Department of Mechanical and Production Engineering at Ahsanullah University of Science and Technology (AUST), Dhaka, Bangladesh. I have earned my B.Sc. in Industrial and Production Engineering from BUET in 2017. I am actively involved in diverse research works. My research interests include optimization, machine learning, operation research and supply chain management. I am a member of the Industrial Engineering and Operations Management (IEOM) Society, INFORMS and Institution of Engineers, Bangladesh (IEB).

During my FacilitatOR session, I will be leading a discussion about Research Assistantships (Tuesday, November 10, 1:30-2:30pm EST on Floor 3).

Watch my presentation, “Multi-Objective Sensor Array Optimization Under Uncertainty,” on November 9 at 8am EST.

Ayca Altay

I’m a PhD student at the ISE department at Rutgers University. The most interesting fact about me: I already had a PhD and a tenured position at my home country, but I left it, came here, started over, and I’m building myself a high-risk high-reward future.

I also worked part-time with a strategic management consultancy company during my first PhD. I was in the moderation/facilitation team in more than 100 conferences, and moderated small groups in more than 10 workshops. Two of them were on an international scale.

Besides enjoying intellectually challenging conversations, I learned the importance of preparation and finding the right questions. I also learned the fine balance between being engaging, preparing intellectually satisfying content, and keeping it professional but also casual. 

During my FacilitatOR session, I’ll be leading a discussion on Resilience and Self-Care for Graduate Students (Thursday, November 12, 12:30-1:30pm EST).

Watch my presentation, “Behavioral Analysis and Classification of Lone-Actor Terrorists,” on November 9 at 2pm EST.

Eren Atsiz

I am an M.Sc. candidate in data science at Özyeğin University, supervised by Prof. Erinç Albey and Prof. Enis Kayış . My primary research interests lie at the intersection of optimization and machine learning, with applications to predictive modeling, nonlinear & black box systems, simulation applications, and surrogate models. My vision is to address high impact problems with accurate and interpretable models that utilize state-of-the-art analytics methods.

During my FacilitatOR session, I’ll be leading a discussion on Supply Chain Management (Monday, November 9, 2:30-3:30pm EST on Floor 4).

Watch my presentation, “A Rank Aggregation Based Ensemble Method For Music Genre Classification,” on November 10 at 8am EST.

Ann Campbell

I am the Interim Department Executive Officer and Henry B. Tippie Research Professor in Business Analytics at the Henry B. Tippie College of Business at the University of Iowa. I joined the University of Iowa after receiving my PhD from the School of Industrial and Systems Engineering at the Georgia Institute of Technology. My research focuses on freight transportation, especially on problems related to new and emerging business models. I work on problems related to inventory routing, consumer direct delivery, route planning using stochastic information, and logistics planning for disaster relief. I have published in journals such as Transportation Science and Networks. I serve as an Associate Editor for Transportation Science and am the current president of the Transportation Science and Logistics Society.

During my FacilitatOR sessions, I’ll be leading a discussion on Vehicle Routing and Transportation (Tuesday, November 10, 2:30-3:30pm EST on Floor 3), and partnering with my fellow FacilitatOR Parag Siddique to discuss Job Search Challenges (Wednesday, November 11, 12:30-1:30pm EST on Floor 4).

Yize Chen

I am a final-year PhD student working in the areas of optimization, machine learning and decision-making. I look forward to building up connections in this year’s INFORMS Annual Meeting!

During my FacilitatOR sessions, I’ll be leading discussions on Machine Learning (Friday, November 13, 12:30-1:30pm EST on Floor 3) and Robust Optimization (Friday, November 13, 4:30-5:30pm EST on Floor 3).

Watch my presentation on “Learning Generizable Network Flow Solver Via Neural Networks,” on November 11 at 4:30pm EST.

Qiyuan Deng

I am currently a postdoctoral researcher at Lee Kong Chian School of Business, Singapore Management University. I am on the job market this year. I obtained my PhD in 2020 at Lee Kong Chian School of Business, Singapore Management University, and my Bachelor’s degree in 2015 at the School of Gifted Young, University of Science and Technology of China.

My general research agenda lies in the interface of operations, economics and marketing. My current research is focused on studying emerging operations issues and innovative business models in the contexts of online retailing, online marketplaces and platforms, and influencer marketing. Moreover, I am interested in issues broadly arising in information economics and social and economic networks. I am eager to articulate data science opportunities to apply machine learning and deep learning techniques to improve business decision making.

During my FacilitatOR session, I’ll be leading a discussion on Pursuing the Tenure Track (Thursday, November 12, 4:30-5:30pm EST on Floor 3).

Watch my presentation, “Coordinating Product Information in Offline and Online Channels: A Perspective of Product Descriptions and Consumer Reviews,” on November 13 at 4:30pm EST.

Franklin Dexter

During the past 25 years, I have essentially been in industry working for my hospital/anesthesia department, but being in academics, I have also been able to publish. Over the past 25 years, my colleagues and I have developed much of the science in implementation of anesthesia group and operating room management.

I completed a Sc.B. in Applied Mathematics & Biology with Honors from Brown University; Master’s Degree & PhD in biomedical engineering, with specialization in biomathematics, from Case Western Reserve University; M.D. degree from Case Western Reserve University School of Medicine; and Anesthesiology residency at the University of Iowa. I’m a professor in the Department of Anesthesia at the University of Iowa.

Several times a year, I teach a four-day intensive course in operating room management, and have given more than 180 invited presentations in the United States and abroad. I do external consults and the University bills for my time. I’ve performed more than 740 consultations, for more than 220 corporations.

In multiple editorial positions, I’ve reviewed greater than 7,060 papers and grant applications, for 80 different journals over the past five years. I’ve published 585 papers in the fields of operating room management and anesthesia. My h index is 71.

My CV is available at: https://www.franklindexter.net/Contact_Info.htm

During my FacilitatOR sessions, I’ll be leading discussions on Operating Room Management (Monday, November 9, 4:30-5:30pm EST on Floor 4) and Hospital Engineering (Thursday, November 12, 2:30-3:30pm EST on Floor 4).

Watch my presentation, “Planning Operating Room Capacity For The Majority Of Proceduralists, Each Low Caseload,” on November 13 at 2pm EST.

Donna Ehrlich

I work full time in higher education as an Associate Professor in Computer Information Systems and do part time Information Systems consulting. I began my education and career in “data processing” which dates me, but I started at a very young age. I entered the corporate track working for Fortune 500 companies. I began in program and operations, did a great job … and in corporate America what do we do, we promote to a level of incompetence, I was moved into a leadership role. I quickly realized working with people was much different than working with computers, so, I returned to school to obtain further education. I completed a bachelor’s degree from Business Administration in Human Resource Management to assist with my technology education and leadership in technology. While managing the department I found that there was a need for continual training and further education necessary for the employees as the now called “information systems” was changing rapidly. This led me back to the classroom where I completed a Masters in Information Systems from Friends University, again so I could learn and grow with the changes in business. I spent over 15 years working for different corporations in the information systems and financial decisions support systems in leadership roles.

I enjoyed my time in the corporate world but also began teaching part time and soon realized that was where I found the greatest satisfaction. I have for the past several years been teaching full time, while consulting part time, and have completed my terminal degree (PhD) through Nova Southeastern University from the Graduate School of Information Sciences with a Doctorate of Philosophy in Information Systems. I have since served in full time roles in academics including serving as a full time faculty, director and dean. I have participated in the design and directed new programs.

I have enjoyed serving in the different capacities, and in every role I enjoyed learning from the people and students I have the opportunity to work with; whether it is in education or in the corporate world. I look forward to learning more about you as we continue to learn and grow together.

During my FacilitatOR sessions, I will lead discussions on Higher Education Changes for Technology Classes (Tuesday, November 10, 2:30-3:30pm EST on Floor 4) and Self-Driving Cars (Wednesday, November 11, 1:30-2:30pm EST on Floor 4).

Watch my presentation “Self-driving Vehicles Attitude Comparison Through Social Systems,” on November 10 at 8am EST. 

Sommer Gentry

I’m a Professor of Mathematics at the United States Naval Academy, and am also on the faculty of the Johns Hopkins University School of Medicine and a senior investigator with the U.S. Scientific Registry for Transplant Recipients. I build operations research models to improve access to organ transplantation. My work had major impacts in the distribution of organs for transplant, by showing that redistricting U.S. liver allocation areas would reduce geographic disparity in access to liver transplants and save hundreds of lives each year. I also designed optimization methods to maximize the number of kidney transplants possible through kidney exchanges, and served as an advisor to the United States and Canada in their efforts to create national paired donation registries. My work helped convince Congress to clarify the legal status of kidney paired donation in December 2007. I have also received the MAA’s Henry L. Alder award for distinguished teaching, and been a finalist for the INFORMS Wagner Prize for Excellence in O.R. Practice.

During my FacilitatOR sessions, I’ll be leading discussions on Anti-Racist Teaching Practices (Tuesday, November 10, 2:30-3:30pm EST on Floor 5) and O.R. in Medicine and Healthcare (Friday, November 13, 4:30-5:30pm EST on Floor 4).

Watch my presentations “Weighted Priority Systems For Kidney Paired Donation That Yield Quantitative Guarantees,” on November 10 at 12:30pm EST “Heterogeneous Donor Circles for Fair Liver Transplant Allocation,” on November 10 at 4:30pm EST.

Vadim Glinsky

I am a fourth-year PhD student in operations management at Northwestern’s Kellogg School of Management. My research interests lie on the interface of operations, marketing, and analytics. Currently, I am particularly interested in supply risk management in a market environment and supply chain management of online marketplaces. My research includes modeling and empirical studies. My teaching interests include Digital Operations and Supply Chain Management. I hold an MSc degree in energy engineering from Delft University of Technology (the Netherlands), and a Diploma degree in electrical engineering from Moscow State University of Mechanical Engineering (Russia) and Ulsan Open University (South Korea).

During my FacilitatOR session, my fellow FacilitatOR Andrew Placona and I will be leading a discussion on Supply Chain Management (Wednesday, November 11, 2:30-3:30pm EST on Floor 3).

Watch my presentation “Managing Disruption Risk Over The Product Life Cycle,” on November 13 at 4:30pm EST.

Saravana “Samy” Govindasamy

I am a success-driven, entrepreneurial leader with extensive experience in strategy, innovation, and entrepreneurship. As a seasoned entrepreneur and business advisor, I have successfully started, built, operated, and grown a variety of businesses. I serve as an advisory board member for profit and nonprofit startups. I also possess Big 4 consulting experience and spearheaded various engagements in the areas of process improvement, project portfolio management design thinking, lean six sigma and agile methodologies for Fortune 50 global organizations.

I serve as a Clinical Professor at Fox business school, Temple project capstone program by mentoring graduate students to bring together all aspects of ideation, go-to-market strategy, value creation, marketing, finance, product planning, org design into practice for real clients ranging from Fortune 5 companies to early startups. As a program director for Translational Research Center (TRC) at Temple, I instituted “The Philadelphia Innovation Hub” Symposium program.

I have published papers in refereed journals, authored books, and has delivered professional speaking engagements in the areas of strategy, innovation, and entrepreneurship. My educational background includes a Doctorate in Business Administration, Fox School of Business, Temple University, Philadelphia, USA, Master of Business Administration, and a Bachelor of Engineering. I hold Project Management Professional (PMP) and Lean Six Sigma certifications.

During my FaciliatOR session, I’ll be leading a discussion on AI and the Workforce (Monday, November 9, 12:30-1:30pm EST on Floor 4).

Watch my presentation “AI Innovations in Healthcare: A new prescription through the lens of frontline clinicians,” on November 11 at 12:30pm EST.

Li Jiang

I am an assistant professor in marketing at George Washington University. I got my Phd from UCLA.

During my FacilitatOR sessions, I’ll be leading discussions on Creative Ways to Collect Data During the COVID-19 Pandemic (Tuesday, November 10, 4:30-5:30pm EST on Floor 3) and AI and the Workforce (Thursday, November 12, 4:30-5:30pm EST on Floor 4).

Watch my presentation “Do You Mind if I Ask You a Personal Question? How Artificial Intelligence (AI) Agents Alter Consumer Self-Disclosure,” on November 7 at 8:30am EST.

Stanley Lim

I am an Assistant Professor of Supply Chain Management at the University of San Diego School of Business. I hold a PhD In Supply Chain Management from the University of Cambridge and an MCS in Data Science from the University of Illinois at Urbana-Champaign. My research interests are in retail operations, last-mile logistics, and omni-channel retailing.

During my FacilitatOR session, I will be leading a discussion on Retail Operations and E-commerce (Sunday, November 8, 1:30-2:30pm EST on Floor 3).

Watch my presentation “Product Returns In Omni-channel Retailing,” on November 10 at 4:30pm EST.

Junming Liu

I am an assistant professor in the Department of Information Systems at the City University of Hong Kong. My general areas of research are data mining, supply chain analytics, urban computing, and large scale optimization, with a focus on developing effective and efficient data mining techniques for emerging big data & supply chain applications.

During my FacilitatOR session, I’ll be leading a discussion on Machine Learning (Monday, November 9, 4:30-5:30pm EST on Floor 3).

Georgia (NingYuan) Liu

I am a third year PhD candidate in industrial and system engineering department from Virginia Tech. My research interest is risk management and the adoption to automation in complex socio-technical systems. The method I used includes data envelopment analysis, system dynamics, and machine learning.

During my FacilitatOR sessions, I’ll be leading discussions on Decision Making (Monday, November 9, 12:30-1:30pm EST on Floor 3) and Safety Science (Friday, November 13, 1:30-2:30pm EST on Floor 4), and pairing with my fellow FacilitatOR Jiadong Wang for a discussion on Machine Learning (Friday, November 13, 2:30-3:30pm EST on Floor 3).

Watch my presentation “A Dynamic Model Of Workload And Fatigue As Predictors Of Errors In Safety Critical Monitoring Roles: Railway Traffic Controllers,” on November 12 at 8am EST.

Mehrzad Mehrabipour

I am currently working as a graduate research assistant at North Carolina State University in the Civil, Construction, and Environmental Engineering Department. I have received my BS.c. (Hons.) in 2012 from Shahid Bahonar University of Kerman and an MS.c. (Hons.) from Trarbiat Modares University in 2014 both in industrial engineering. I also received another MS.c. in transportation engineering from Washington State University.

During my FacilitatOR sessions, I’ll be leading discussions on Transportation Science and Logistics (Tuesday, November 10, 1:30-2:30pm EST on Floor 5) and Supply Chain Management (Friday, November 13, 2:30-3:30pm EST on Floor 4), and my fellow FacilitatOR Elham Taghizadeh and I will be discussing Job Search Challenges (Thursday, November 12, 2:30-3:30pm EST on Floor 3).

Stacey Mumbower

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I am an Assistant Professor of Management and Technology in the College of Business at Embry-Riddle Aeronautical University Worldwide Campus. I teach courses in business intelligence and analytics in a Master’s degree program in Management Information Systems.

I hold a PhD in civil engineering with a concentration in transportation systems and a MS in statistics from Georgia Tech. Previously, I was a Clinical Assistant Professor of Management Science at the University of South Carolina, where I also served as Director of the Center for Applied Business Analytics. Before my academic positions, I worked at the Centers for Disease Control and Prevention and the Georgia Department of Transportation.

My primary research interests include topics in airline revenue management and pricing, demand modeling, airline product strategies and business models, and airport operations. I also have secondary research interests within health care analytics.

During my FacilitatOR session, I’ll be leading a discussion on Air Transportation and the Impact of COVID-19 (Wednesday, November 11, 4:30-5:30pm EST on Floor 3).

I will also be co-hosting “Freestyle O.R. Supreme Game Show,” on November 11 at 2pm EST. Click here to learn more!

Andrew Placona

I am a data science manager at United Network for Organ Sharing. For the past two years, my team has been working on data science problems within transplantation. Specifically, examining natural language processing to predict kidney utilization, impact of logistics, and predictive analytics on transplantation.

During my FacilitatOR sessions, I’ll be leading discussions on Data Science (Monday, November 9, 1:30-2:30pm EST on Floor 4) and Transplantation (Wednesday, November 11, 12:30-1:30pm EST on Floor 3), and I’ll be partnering with my fellow FacilitatOR Vadim Glinskiy to discuss Supply Chain Management (Wednesday, November 11, 2:30-3:30pm EST on Floor 3).

Watch my presentation “Optimizing Logistics To Enable Transplantation,” on November 10 at 8am EST.

Oscar Rincón-Guevara

I am a PhD candidate in industrial engineering at Purdue University. My research lies at the intersection of product design and manufacturing systems in the context of personalized production. I am interested in developing new approaches to integrate complex systems that consider product architecture, service providers, and manufacturing environments.

During my FacilitatOR sessions, I’ll be leading a discussion on Complex Systems (Tuesday, November 10, 1:30-2:30pm EST on Floor 4), and I’ll be partnering with my fellow FacilitatOR Elham Taghizadeh to discuss Manufacturing Systems and Supply Chain (Thursday, November 12, 1:30-2:30pm EST on Floor 3). 

Watch my presentation “Measuring a Relationship Between Software and Hardware Design in PSS: An Assistive Technology Application,” on November 11 at 22pm EST.

Amit Sansanwal

I am a senior professional working in the field of data science and BI.

During my FacilitatOR session, I’ll be leading a discussion on Analytics (Wednesday, November 11, 12:30-1:30pm EST on Floor 3).

Thiago Serra

I am an assistant professor of analytics and operations management at Bucknell University’s Freeman College of Management. Previously, I was a visiting research scientist at Mitsubishi Electric Research Labs from 2018 to 2019, and an operations research analyst at Petrobras from 2009 to 2013. My current work focuses on theory and applications of machine learning and mathematical optimization. I have a Ph.D. in operations research from Carnegie Mellon University’s Tepper School of Business, and received the Gerald L. Thompson Doctoral Dissertation Award in Management Science in 2018. During my PhD., I was also awarded the INFORMS Judith Liebman Award and a best poster award at the INFORMS Annual Meeting in 2016. My work on neural networks has been published at ICML, AAAI, and CPAIOR, and received a best poster award at the Princeton Day of Optimization in 2018, as well as a third place in the poster competition of the LatinX in AI workshop at ICML 2020.

During my FacilitatOR session, I’ll be leading a discussion on Growing Your Network (Friday, November 13, 1:30-2:30pm EST on Floor 3).

Watch my presentation “Lossless Compression Of Deep Neural Networks,” on November 11 at 4:30pm EST.

Sonali Shankar

I am an eighth semester research scholar at IIT Delhi working on machine learning and blockchain applications in container supply chain.

During my FacilitatOR sessions, I’ll be leading discussions on Blockchain Technology (Sunday, November 8, 1:30-2:30pm EST on Floor 4) and Artificial Intelligence (Tuesday, November 10, 12:30-1:30pm EST on Floor 3).

Watch my presentation “COVID-19, Social Media & Collective Engagement Affordances: A Study of Tweets by Logistics Businesses,” on November 13 at 4:30pm EST.

Maotong Sun

I am a second year master student majoring in industrial engineering at the University of Pittsburgh.

During my FacilitatOR sessions, I’ll be leading discussions on Reinforcement Learning (Tuesday, November 10, 12:30-1:30pm EST on Floor 5) and Data Science (Wednesday, November 11, 4:30-5:30pm EST on Floor 4).

Watch my presentation “How often should I jump? Determining the frequency of the use of vertical jump on force plates for determining injury risk,” on November 10 at 4:30pm EST.

Jiadong Wang

I am a senior O.R. developer at Sabre Labs.

In my FacilitatOR session, I’ll be partnering with my fellow FacilitatOR Georgia (Ning-Yuan) Liu discuss Machine Learning (Friday, November 13, 2:30-3:30pm EST on Floor 3).

Zhengli Wang

I am a fifth year PhD student from Stanford. My research focuses on entrepreneurship and healthcare.

During my FacilitatOR session, I’ll be leading a discussion on Topics in Healthcare Research (Thursday, November 12, 4:30-5:30pm EST on Floor 5).

Watch my Flash Paper Session on November 8 at 1:15pm EST.