Officially wrapped up my summer Microsoft Research! Had a blast working with the Human Understanding and Empathy group and the Office of Applied Research (with my amazing twitterless mentors Jina Suh and Bahar Sarrafzadeh). Stay tuned for some piping hot work on LLMs and Optimization!

Connor Lawless Thank you for your presentation at our Online Seminar Series Machine Learning NeEDS Mathematical Optimization, congreso.us.es/mlneedsmo/! Indeed, your pic is here 👇 x.com/DoloresRomeroM… Well done with the pub!

Awesome feature on some of the cool stuff Chamsi Hssaine has been up to since she a̵b̵a̵n̵d̵o̵n̵n̵e̵d̵ ̵u̵s̵ ̵a̵t̵ graduated Cornell! amazon.science/working-at-ama…

Know an undergrad looking to apply to OR PhD programs? Cornell ORIE is launching our application support program for prospective URM PhD students! Deadline is December 1st. Help spread the word! forms.gle/GZFqvAGdg67hbT…

Urgent!!! PhD studentship contract for project "MATHEMATICAL OPTIMIZATION AND STATISTICS FOR EXPLAINABLE AND FAIR MACHINE LEARNING" at Universidad de Sevilla (Ref INV-PRE-2023-I-040 in tvirtual.us.es/teous-rest-api…) Interested? Contact us asap!

📢 The Online Seminar Series #MachineLearning NeEDS #MathematicalOptimization, congreso.us.es/mlneedsmo/, is back on October 2, 16.30 CET! ℹ️ Join mailinglist tinyurl.com/OSSMLNeEDSMO NeEDS Project activity, branding the role of #orms in #AI with the support of @EUROonline_News

We are launching our Graduate School Application Financial Aid Program (queerinai.com/grad-app-aid) for 2023-2024. We’ll give up to $750 per person to queer STEM scholars applying to graduate programs. Apply at form.jotform.com/232668532628060. Donate to support at paypal.com/donate/?hosted… 1/

Congratulations to ORIE Professor Andrea Lodi on being chosen as one of just twelve 2023 INFORMS Fellows! INFORMS connect.informs.org/discussion/con…

RT 🙏 📢 JOB OPPORTUNITY 2-year #Postdoc Position in #MathematicalOptimization and #MachineLearning at CBS Department of Economics (Copenhagen Business School) Come and work with us on #datadriven #decisionmaking for #sustainable urban logistics funded by EU !!! For more details cbs.dk/cbs/jobs-paa-c…

Super excited about this project from my time at Microsoft Research! We explore how to combine LLMs and Constraint Programming to allow non-expert users to design optimization models in the context of meeting scheduling.

Sharing some papers I enjoyed at the OPT workshop at #NeurIPS2023! sorry I couldn't interact with everyone (had a tight flight schedule). Sina Baharlouei 's paper on f-ERM. Connor Lawless's paper on Fair Clustering. Todo: Another post on DP, fairness, game theory, bandits papers.

Continuing the second session of the AI / OR workshop, Connor Lawless talks about using large language models to replace the #orms expert when formulating optimization models, such as for building a constraint programming model for scheduling meetings

In my presentation at the AI / OR workshop, I talked about incentives for collaboration across disciplines, touching a bit on journal and conference publishing cultures. From later conversations, this seems to be less of an issue in IE departments than it is in business schools.

Connor Lawless (Connor Lawless) talks at #cpaior2024 about a new notion of fairness in clustering to ensure minimum majority representation of groups across clusters, which helps shaping more representative electoral districts, & which may shown to be impossible by an exact approach

Have you developed and/or implemented an optimization model to solve a real-world use case? We want to hear from you! tinyurl.com/3ejdr7su

Excited to be talking about this project at INFORMS today (ME31 - 4:00 @ Summit 422)! In this paper we build and do the first user study with a system that combines LLMs with Constraint Programming for personalized optimization modelling (accepted in ACM TiiS, an HCI journal!)