[Oct 2024]

🎙️ I spoke on a panel for incoming NSF Computer and Information Science and Engineering Graduate Fellows about preparing successful Ph.D. program applications

🤖 I started volunteering with NYC FIRST Robotics to teach Java programming to high school-aged participants

[Sept 2024]

✈️ I was invited to attend the Global Digital Wellbeing Forum, organized by Sync Ithra, during the 79th United Nations General Assembly

📝 Our paper, The Impact of Home Medication Management Practices on Medication Adherence (Gualtieri, L., Steinfeldt, M., Shaveet, E., Estime, B., Singhal, M.), was published in a special issue of Behavioral Sciences (Promoting Behavioral Change to Improve Health Outcomes).

[August 2024]

🤝 I joined the Department of Information Science at Cornell University to start my Ph.D. under the advisement of Tanzeem Choudhury, Ph.D. at the People-Aware Computing Lab (Cornell Tech, NYC)

[July 2024]

📝 My poster, Using Social Media to Detect Foodborne Illness in New York City: Insights from Yelp Reviews and Short-Form Video Platforms (Shaveet, E., Hsu, D., Gravano, L.), was presented at the 2024 Columbia University Pathways Programs (CUPP) Symposium.

📝 We presented our paper, Geospatial and Geosocial Dimensions of Foodborne Illness as Reflected in Yelp Restaurant Reviews (Shaveet, E., Chowdhury, S., Hsu, D., Gravano, L.), at the 2024 International Conference on Social Media & Society (London, England)

[June 2024]

🎓 I graduated from the Bridge to Ph.D. Program in STEM at Columbia University!

[May 2024]

📝 We presented our paper, Seasonality Patterns in 311-Reported Foodborne Illness Cases and Machine Learning-Identified Indications of Foodborne Illnesses from Yelp Reviews, New York City, 2022-2023 (Shaveet, E., Hsu, D., Gravano, L.), as a Flash Talk at the 8th Annual Conference of the UConn Center for mHealth and Social Media, Advancing Public Health and Science with Artificial Intelligence

[April 2024]

🍎 I'll be teaching Data Science and Machine Learning 1 for Columbia University's Pre-College Programs this summer

📰 I was featured in a Columbia Engineering media profile!

👩‍💻 I will be starting my Ph.D. in Information Science with a graduate minor in Computer Science at Cornell this Fall (Cornell Tech NYC campus) under Tanzeem Choudhury at the People-Aware Computing Lab!

📝 We presented our poster, Investigating the Association Between Text-Based Indications of Foodborne Illness from Yelp Reviews and New York City Health Inspection Outcomes, 2023 (Shaveet, E., Su, C., Hsu, D., Gravano, L.), at Columbia University's Data Science Day 2024 (New York, NY)

[March 2024]

🤝 I joined the consultant team for the Formative Research on Adverse and Positive Childhood Experiences Study (FRAPCES) study with RTI International and the Centers for Disease Control & Prevention (CDC)

[Jan 2024]

🎨 My art (Shoulders, 2023) was featured in the inaugural issue of Lab Rats Magazine!

🏆 My team won the Trailblazers in Tailored Tools Award from Schrodinger at the 2024 Hacking the Gender Stack Hackathon for our project, SciInfo!

[Dec 2023]

📝 Our preprint, memorAIs: an Optical Character Recognition and Rule-Based Medication Intake Reminder-Generating Solution (Shaveet, E., Singh, U., Assaderaghi, N., Librandi, M.) is available on arXiv

[Nov 2023]

✈️ I attended the IMPACT Symposium (Seattle, WA) through the Center to Optimize Evidence-Based Practice Implementation for Clinical Impact

[Oct 2023]

📰 Our medication-intake reminder application, memorAIs, was featured on the Patient Safety Technology Challenge blog

[Sept 2023]

🏆 My team won two awards at the 2023 DivHacks Hackathon for our project, memorAIs!

• We won the Patient Safety Award via the Patient Safety Technology Challenge from the Pittsburgh Regional Health Initiative (PRHI))!

• We also won the Best Use of Taipy Award from Major League Hacking and Taipy.io!

[Aug 2023] 

🏆 I was awarded the NSF Computer and Information Science and Engineering Graduate (CSGrad4US) Fellowship to fund 3 years of my Ph.D. studies.

[July 2023 ] 

📝 My poster, Logistic Regression Classifier-Based Indications of Foodborne Illness from Yelp Reviews: Exploring Temporal Variation and Socioeconomic Context (2012 - 2021) (Shaveet, E., Hsu, D., Gravano, L.), was presented at the 2023 Columbia University Pathways Programs (CUPP) Symposium.

[June 2023] 

📝 I published a new piece on my Medium blog, Psychoinformatics & Digital Phenotyping: ethical complexities of emerging digital surveillance practices.

[May 2023] 

🏆 I was awarded the 2023 MS in Health Informatics and Analytics Academic Achievement Award at Tufts University School of Medicine.

[May 2023] 

🎙️ I spoke at a U.S. congressional briefing organized by Friends of NIMH about the impact of National Institute of Mental Health (NIMH)-funded research

[April 2023] 

📝 We presented our poster, Text Classifier-Based Indications of Foodborne Illness Events from Yelp Reviews and Median Household Income by New York City Census Tract, 2020 (Shaveet, E., Hsu, D., Gravano, L.), at Columbia University's Data Science Day 2023 through the Data Science Institute (Will also be presented at the Columbia Smart Cities Center Poster Session)

[March 2023] 

🗳️ I was appointed Chair of the Research & Evaluation Subcommittee of the Youth Best Practice Committee at Youth MOVE National.

[Feb 2023] 

📝 Our abstract, Where are prescription medications stored: an investigation into home medication management practices (Gualtieri, L., Boschetti, R., Rigby, M., Shaveet, E.), from the 26th Annual Meeting of ESPACOMP, the International Society for Medication Adherence was published in the International Journal of Clinical Pharmacy.

[Dec 2022]

🤝 I joined the Stakeholder Advisory Board at the Center to Optimize Evidence-Based Practice Implementation for Clinical Impact (IMPACT Center), operating out of the University of Washington, Kaiser Permanente Washington Health Research Institute, and the University of Michigan.

[Nov 2022]

📝 Our paper, Web-Based Health Information-Seeking Methods and Time Since Provider Engagement: Cross-sectional study (Shaveet, E., Urquhart, C., Gallegos, M., Dammann, O., Corlin, L.), was published in the Journal of Medical Internet Research (JMIR) Formative Research.

[Oct 2022]

📝 Our paper, The Role of Home Medication Storage Location in Increasing Medication Adherence for Middle-Aged and Older Adults (Gualtieri, L., Shaveet, E., Estime, B., Patel, A.), was accepted for publication in Frontiers in Digital Health.

[Sept 2022]

📝 Our paper, Designing a Browser Extension for Reliable Online Health Information Retrieval Among Older Adults Using Design Thinking (Shaveet E., Gallegos, M., Castle, J., Gualtieri, L.), was accepted for publication by the Online Journal of Public Health Informatics (OJPHI).

[Augt 2022]

🤝I joined the Department of Computer Science at Columbia University as a Bridge to PhD Scholar under the advisement of Luis Gravano, PhD and Daniel Hsu, PhD.

[July 2022]

🎓 I delivered my master's capstone presentation, Developing a Free-Access Machine Learning Model & Data Set Disclosure (MDSD) Curriculum for Public Health & Healthcare Contexts, and completed the requirements to attain my Master of Science in Health Informatics & Analytics from Tufts University School of Medicine.  (Check out the MDSD4Health website and read the blog in MLearning.ai)

[June 2022]

📝 Our Learning Institute proposal, Design Thinking to Guide Innovation, was accepted to be presented at the American Public Health Association (APHA) 2022 Annual Meeting in November, 2022.

[June 2022] 🎙️ I spoke on a panel for SAMHSA's National Training & Technical Assistance Center (NTTAC) about career pathways in research and evaluation relating to youth and young adult populations.

[May 2022]

📝 My poster, "Free Food Near Me:" Mapping U.S. Food Assistance Google Search Volumes, Food Insecurity Rates, and Location of Feeding America Network Food Banks in 2020", was presented at the 2022 Tufts University Geographic Information Systems (GIS) Expo in May 2022 (Selected as one of "18 Best" to be taken by Tufts faculty to the 2022 Esri User Conference in San Diego, CA).

[May 2022]

📝 The Digital Health Research Group's work was featured in our lab director, Dr. Lisa Gualtieri's, faculty research seminar for the Tufts University School of Medicine Department of Public Health & Community Medicine on medication adherence and contextual digital device design.

[April 2022]

🎙️ I organized and facilitated a Health Informatics & Analytics student/alumni panel at Tufts University about health informatics and analytics master's capstone research preparation.

[April 2022]

📝 Our teaching paper, Digital Health Innovation for Older Adults through Design Thinking, was published in the Journal of Communication in Healthcare: Gualtieri, L., Shaveet, E., Kim, D. (2022) Digital Health Innovation for Older Adults through Design Thinking, Journal of Communication in Healthcare, DOI: 10.1080/17538068.2022.2060665.

[Feb 2022] 

📸 My PI, Lisa Gualtieri, Ph.D., and I were featured in the Health Informatics & Analytics Newsletter at Tufts University School of Medicine highlighting an award of Springboard funds for work investigating the impact of medication storage location on medication adherence.

[Jan 2022] 

🎙️ I was invited to give a talk about youth data literacy and data justice to the Pacific Southwest Mental Health Technology Transfer Center's Peer Learning Community.

[Jan 2022] 

📝 Youth advocacy organization, Encode Justice, published my piece, Quantification & Representation: Accuracy Disparities in Usage of Differential Privacy Methodologies.