- Check out our latest publication led by Emily Leventhal, a 2nd year MD/PhD student in our lab, which investigates physical activity and mental health in female chronic pelvic pain disorders.
- The latest data byte from our lab is posted on our blog.
- Doctoral student David Lopez Veneros presented his research on minority stressors at the AHA annual symposium in November.
- Emily Leventhal participated in the Women in Machine Learning workshop happening in conjunction with NeurIPS in Vancouver to present ongoing work exploring NLP methods for EHR-based endometriosis phenotyping and data extraction methods. She masterfully implemented a series of very interesting, novel NLP approaches to assess their utility and performance.
- Nivedita Nukavarapu, PhD and Jannes Jegminat, PhD represented our lab at the 15th Annual Machine Learning Symposium at NYAS on October 18th. Their posters cover topics on female reproductive health, LLMs, and mobile health tech.
- Emily Leventhal, Bryan Tricoche, and Jannes Jegminat, PhD from our lab presented their latest research at the semi-annual HPI Potsdam digital health workshop on October 7-11th. They all did a brilliant job and Bryan won the Best Poster Award at the poster session!
- Shout out and special thanks to the LWT Squad for inviting me to speak at the Lesbians Who Tech 2024 Summit on September 17-19th. I am thrilled that the event was held in NYC this time around. It was a fantastic experience with great people I got to meet. The talks weren’t recorded, unfortunately, but stay tuned for more talks on the same topic in the coming months.
- I had a great time participating as a panelist at the American Health Journalism Conference held June 7-9th in NYC. A recap of some of the panel highlights is now available on the event website. Special thanks to Karen Blum for inviting me to join the panel she organized.
- We are looking to collaborate with pelvic floor physical therapists in the NYC area for an observational study with women with pelvic pain disorders. If you are interested in collaborating with our team, you can learn more through the d2prom study website. If you would like to help spread this opportunity, you can share the study promo video.
- Biomedical Sciences graduate student Brianne Gibb successfully defended her master thesis on the environmental and psychosocial predictors of pregnancy outcomes in gestational diabetes! This work uses the All of Us benchwork and data to reveal some interesting patterns in how perceived neighborhood effects and social determinants of health might be at play in this relationship. The manuscript is planned for later this year.
- Some highlights from the New Wave of AI in Healthcare annual symposium held at the NYAS on May 1-2nd, 2024. Thank you Sara Berger for agreeing to chat with us!
- Recording of my talk at the 2024 NYR Conference is now available online. The event was held in NYC on May 16-17th. This was a particularly meaningful conference as my postdoc and graduate student collaborating on the project were also in attendance. Stay tuned for the paper coming out soon!
- Our recent work on developing reinforcement learning based personalized exercise recommendations for endometriosis pain management was presented at the ML4Health conference in New Orleans. The paper was presented by Dominik Meier from the Hasso Plattner Institute Potsdam, whose primary adviser is Dr. Stefan Konigorski. This research has been in the works for a long time and I am very excited that I get to collaborate with an excellent team to conduct the clinical intervention study. The pre-print paper is available on the MLR proceedings website.
- Postdoctoral fellow Eugenia Alleva, MD, presented some of the latest research on dysmenorrhea phenotyping via prompt-based learning at AMIA 2023 in New Orleans. She discussed how optimizing prompt-based tuning via keyword-optimized template insertion (KOTI) enables the adaptation of pre-trained clinical language models with only a few training examples. You can check out the pre-print to learn more about how KOTI can be applied to different clinical tasks.
- I gave an invited talk at the Hasso Plattner Institute at Potsdam University on July 13th, 2023. I had a great time meeting with the students and faculty, and visiting the Digital Health Cluster. The recording of the talk is available on the department website.
- The New Wave of AI in Healthcare conference in NYC organized by the HPIMS took place on May 23rd-24th. The briefs and recordings of the talks are available via the NYAS’s website.
- I recently came across Endonews, a website that features the latest peer-reviewed research on endometriosis, as well as interviews. It is a good read, with a lay summary and key insights on every featured article.
- My talk at the nyhackR meetup is now available on youtube. Thank you to everyone who attended in person and virtually! I greatly enjoyed meeting everyone and the questions during the Q&A.
- ACSM Announces Paper of the Year Awards for Scientific Journals
- We were back at the Columbia University Data Science Day in Spring 2023, held at Lerner Hall on campus. I have a very personal connection to this annual event and always feel thrilled when we get to present our research with this community. This year, I presented some of our latest methodological work on functional data analysis for clustering wearable data for characterizing heterogeneous, longitudinal physical activity patterns.
- I was awarded an R01 grant by the National Institutes of Health (NICHD) in September. This project will investigate a functional data analytic framework to design and evaluate mHealth measures of pain, quality of life, and treatment response using patient-generated health data with high complexity and temporality. This study will test a novel application of Distributed Lag Models (DLMs) in this mHealth context to estimate “critical windows” of tracking analogous to the “window of susceptibility” (Further project details).
- I spoke at the 2022 New York R Conference in June! I have been attending these events for several years so I was thrilled to be invited as a speaker. The event was held during June 8-10th as a hybrid conference. The recording of my talk on functional clustering using wearable data is available on youtube.
- I presented some of my latest work on integrating functional data methods with unsupervised learning for clustering daily physical activity trajectories at DSI’s Annual Data Science Day on April 6th, 2022.
I had the great pleasure to join the Symbiosis Competition judges panel at this year’s Imagine Science Film Festival. The event was held October 15th-22nd in NYC. Symbiosis is where I met my co-director and partner in crime Camille Hollett-French last year. Moreover, I got to meet the festival directors and organizers in-person for the first time this year. Overall an exciting time. Congrats to this year’s Symbiosis winners Arianna and Rashu!- ENDOMIC has been announced among the official selections by the 12th Awareness Film Festival! We are thrilled to be a part of this festival, whose mission is to inform and inspire audiences by spotlighting film-makers committed to making positive change throughout the world. This year’s event will be held October 21st-November 1st in 2021 Los Angeles.
- My presentation on digital health applications of unsupervised learning at the 2021 Annual DSI Data Science Day is now available online.
- A piece by Karina Alexanyan on my recent collaboration on ENDOMIC as inspired by my research is now live. It was great pleasure to chat with Karina and I am excited about how the piece turned out.
- My latest work on digital phenotyping of sleep using unsupervised machine learning was presented at the DSI Health Analytics Poster Session was held on April 2nd, 2021.
- Responsible Investor magazine recently covered (pdf version here) a project conducted by Rights CoLab, one of our Data for Good collaborators.
- With my colleagues at Columbia, I was recently awarded seed funds from the Data Science Institute to study digital sleep phenotypes and examine the associations of daily exposure to minority stressors (such as experiences of discrimination and anticipated discrimination) with sleep health among Black and Latinx sexual and gender minority adults. Read more on the aims of the project aims and the DSI Seed Funds
- Speaking at the DSI Summer Career Webinar Series
- Virtual Data Science Day 2020 at DSI
- In June 2019, DSI participated in the Annual Columbia Alumni STEM Day for the first time. I organized and led a team of students representing the DSI at this event to create an interactive project that aimed to introduce kids to the field of data science, help them better understand how to visualize and interpret data, put it into context and disseminate their findings. We developed an interactive data science education tool that implements scientific methodology steps and aims to improve graph literacy in young children. I later led workshops held at Teachers’ College for elementary school teachers based on this tool.
- Leading Workshop on data literacy skills in K-12 classrooms
- This project later led to a white paper co-authored with Monica Chan, one of the doctoral students involved in the project, for which we won the Computing Community Consortium White Paper award for open source data science education:
- “Children are natural data scientists”
- Guest Post on Thrive Global: “Making your wearables work for you“