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HELLO, I'M

Josephine Lamp

Computer Science PhD Candidate, NSF Graduate Research Fellow & Jefferson Fellow @ UVA

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Josephine Lamp

CS PhD Candidate

NSF Graduate Research Fellow

Jefferson Fellow

University of Virginia

Charlottesville, VA, USA

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About

About

I am a final year Computer Science PhD candidate, 2020 NSF Graduate Research Fellow and Olive B. and Franklin C. Mac Krell Jefferson Fellow attending the University of Virginia in Charlottesville, Virginia. I am advised by Dr. Lu Feng and Dr. Dave Evans. My research is at the intersection of Healthcare, Machine Learning (ML), Artificial Intelligence (AI) and Privacy; I am developing trustworthy clinical decision support systems by designing innovative ML and AI techniques that are robust, explainable and privacy-preserving. In particular, I focus on methods for time series traces and/or medical trajectories. My research is actively applied to improve patient outcomes for individuals with Advanced Heart Failure and Type I Diabetes.

News

  • March, 2024 - I have successfully defended my PhD defense on "Trustworthy Clinical Decision Support Systems for Medical Trajectories"! My dissertation is available at: https://doi.org/10.18130/mpk8-tt82

  • February, 2024 - Our paper "Characterizing Advanced Heart Failure Risk and HemodyNAmic Phenotypes using Interpretable Machine Learning" has been published in the American Heart Journal

  • December, 2023 - I received a NeurIPS 2023 scholar award to attend the conference and present our work!

  • November, 2023 - I was selected as a fellow for the Postdoctoral Networking Tour in Artificial Intelligence sponsored by the German Academic Exchange in which I was sponsored to tour Germany for a week and network with various research institutions around Germany!

  • September, 2023 - Our paper "GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces" has been accepted to NeurIPS 2023!

  • May 2022 - Our paper Systemic arterial pulsatility index (SAPi) predicts adverse outcomes in advanced heart failure patients has been published in Heart & Vessels Journal

  • November, 2020 - Thrilled to announce that our team's solution was selected as a winner for the 2020 NIH organized NHLBI Big Data Analysis Challenge: Creating New Paradigms for Heart Failure Research for our Solution entitled Intelligently Characterizing Patient Hemodynamic Phenotypes for Advanced Heart Failure in the ESCAPE Trial Using Learned Multi Valued Decision Diagrams.

  • August, 2020 - I was featured in a "Humans of the Link Lab" story at UVA. Check out the blog post here and instagram post here.

  • April, 2020 - I am incredibly humbled to announce that I am a 2020 NSF Graduate Research Fellow. More details can be found here

  • June, 2019 - Our paper "A Logic-Based Learning Approach to Explore Diabetes Patient Behaviors" has been accepted to the 17th International Conference on Computational Methods in Systems Biology (CMSB 2019) in Trieste, Italy

  • April, 2019 -- I am honored to announce that I have won a travel scholarship award to attend the CPS Week and ICCPS conference in Montreal, Canada from April 15th - 18th

  • February, 2019 -- Our paper "ExSol: Collaboratively Assessing Cybersecurity Risks for Protecting Energy Delivery Systems" from my undergraduate work at Arizona State has been accepted to the MSCPES workshop as a part of the ICCPS conference in Montreal!

  • January, 2019 -- I have been selected to participate in the CRA-W Grad Cohort for Women Workshop on April 12-13, 2019 at the Hilton Chicago in Chicago, IL. I look forward to learning from and connecting with other graduate and professional women!

  • December, 2018 -- I am excited to announce that I have been awarded a student scholarship to attend the Women in CyberSecurity (WiCyS) 2019 Conference in Pittsburgh, PA on March 28-30, 2019.

  • August, 2018 -- I have officially started as a Computer Science PhD student at the University of Virginia in Charlottesville, Virginia. I was offered the prestigious Jefferson Fellowship along with the Distinguished Engineering Fellowship at UVa.

  • May, 2018 -- I have graduated from Arizona State University with my BS in Biomedical Informatics, Summa Cum Laude and as an honored Outstanding ASU Graduate

News
Education & Experience

Education

WHAT I’VE LEARNED

2018--Present

PhD Candidate, Computer Science

2020 NSF Graduate Research Fellow; Olive B. and Franklin C. Mac Krell Jefferson Fellow; UVA Engineering Distinguished Fellow

School of Engineering and Applied Science

University of Virginia, Charlottesville, VA, USA

Dissertation Title: “Trustworthy Clinical Decision Support Systems for Medical Trajectories"

2014–2018

BS in Biomedical Informatics

Barrett, the Honors College, Arizona State University, Tempe, AZ

Graduated Summa Cum Laude and with honors as an Outstanding ASU Graduate

2014

Apple Certified Macintosh Technician

Tech ID: NT56FCB25F

Experience

WHERE I’VE WORKED

Jun. 2021–Present

Senior Privacy Engineer (Contractor)

Dexcom, Charlottesville, VA

Jan. 2015–Jun. 2018

Undergraduate Researcher

ASU Center for Cybersecurity and Digital Forensics

Aug. 2017--May 2018

Research Affiliate

Mayo Clinic, Scottsdale, AZ

May 2017--Aug. 2017

Technology Early Career Development Intern

Cigna, Phoenix, AZ

Jun. 2016--Aug. 2016

Engineering Intern

Performance Software, Phoenix, AZ

Aug. 2014--Sept. 2016

Apple Certified Repair Technician

Sun Devil Marketplace Apple Repair Center at ASU

Teaching

TEACHING ASSISTANT

CPS: Formal Methods, Safety, Security [CS 6501-002 / SYS 6582-002]

Spring 2020 & Spring 2021

HEAD TEACHING ASSISTANT

Artificial Intelligence [CS 4710]

Fall 2019 & Fall 2020

Teaching

Selected Publications & Talks

CONFERENCE / JOURNAL PAPERS

Trustworthy Clinical Decision Support Systems for Medical Trajectories

Josephine Lamp

Dissertation - University of Virginia, March 2024 [link]

GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces

Josephine Lamp, Mark Derdzinski, Christopher Hannemann, Joost van der Linden, Lu Feng, Tianhao Wang, David Evans

Advances in Neural Information Processing Systems 36 (NeurIPS 2023) [To appear, currently available on Arxiv] [link]

 

CARNA: Characterizing Advanced heart failure Risk and hemodyNAmic phenotypes using learned multi-valued decision diagrams

Josephine Lamp, Yuxin Wu, Steven Lamp, Prince Afriyie, Kenneth Bilchick, Lu Feng, Sula Mazimba

Arxiv, 2023 [link]

 

Change in Systemic Arterial Pulsatility index (SAPi) during heart failure hospitalization is associated with improved outcomes

Emily Lin, Akua Boadu, Natalie Skeiky, Nishaki Mehta, Younghoon Kwon, Khadijah Breathett, Onyedika Ilonze, Josephine Lamp, Kenneth C. Bilchick, Sula Mazimba

American Heart Journal Plus: Cardiology Research and Practice 27: 100275, 2023 [link]

Towards Developing Safety Assurance Cases for Learning-Enabled Medical Cyber-Physical Systems

Maryam Bagheri, Josephine Lamp, Xugui Zhou, Lu Feng, Homa Alemzadeh

SafeAI, 2023 [link]

Systemic arterial pulsatility index (SAPi) predicts adverse outcomes in advanced heart failure patients

Sula Mazimba, Hunter Mwansa , Khadijah Breathett, Jarred E Strickling, Kajal Shah, Coleen McNamara, Nishaki Mehta, Younghoon Kwon, Josephine Lamp, Lu Feng, Jose Tallaj, Salpy Pamboukian, Mwenya Mubanga, Jashanjeet Matharoo, Scott Lim, Michael Salerno, Victor Mwansa, Kenneth C Bilchick

Heart and Vessels Journal, 2022 [link]

A Logic-Based Learning Approach to Explore Diabetes Patient Behaviors

Josephine Lamp, Simone Silvetti, Marc Breton, Laura Nenzi, and Lu Feng

In: Bortolussi L., Sanguinetti G. (eds) Computational Methods in Systems Biology. CMSB 2019. Lecture Notes in Computer Science, vol 11773. Springer, Cham [link]

ABSTRACTS / POSTERS

Enhancement of Left Ventricular Ejection Fraction with Endocardial Viability Ratio Trajectories Using Machine Learning Improves Prediction of Clinical Outcomes in Heart Failure

Josephine Lamp, Joseph Dan Khoa Nguyen, Joseph Attia, Noora Batrash, Natalie Skeiky, Akua Boadu, Nina Gu, Garrison Paul Wright, Lu Feng, Amit R. Patel, Nishaki Mehta, Khadijah Breathett, Younghoon Kwon, Cherisse Baldeo, Kenneth Bilchick, Sula Mazimba

To appear in: Journal of the American Society of Echocardiography (JASE) 2023

 

Association of Left Ventricular Ejection Fraction and Endocardial Viability Ratio with Clinical Outcomes in Heart Failure with Reduced Ejection Fraction

Josephine Lamp, Joseph Dan Khoa Nguyen, Joseph Attia, Noora Batrash, Natalie Skeiky, Akua Boadu, Nina Gu, Garrison Paul Wright, Lu Feng, Amit R. Patel, Nishaki Mehta, Khadijah Breathett, Younghoon Kwon, Cherisse Baldeo, Kenneth Bilchick, Sula Mazimba

To appear in: Journal of the American Society of Echocardiography (JASE) 2023

 

Association of Estimated Pulse Wave Velocity to Mortality in Heart Failure With Reduced Ejection Fraction. Insights From the HF-Action Trial

Sula Mazimba, Rebecca Woodhouse, Tolu P Oyinloye, Josephine Lamp, Nicholas Ashur, David Shisler, Lauren Taylor, Mohammad Abuannadi, Steven Phillips, Sami Ibrahim, John A Hossack, Nishaki M Mehta, Khadijah Breathett, Akua Boadu, James Bergin, Younghoon Kwon, Kenneth C Bilchick

Circulation. 2022;146:A15226 [link]

 

GlucoSynth: Generating Synthetic Glucose Traces Using Differentially-Private Generative Adversarial Networks

Josephine Lamp, Mark Derdzinski, Lu Feng, Dave Evans, Nathaneal Paul

15th International Conference on Advanced Technologies & Treatments for Diabetes (ATTD '22), 2022 [link]

Kidney Transplantation Management and Decision Support System

Alp Demirag, Yuxin Wu, Josephine Lamp, S. Holland, Autumn Routt, Lu Feng

American Journal of Transplantation, vol. 21, pp. 827-827, 2021 [link]

Trust Bubble: A Privacy-Preserving Framework for Data and Personnel Sharing in Diverse Health Networks.

Josephine Lamp, Robert Greenes, Edward Shortliffe

AMIA Annual Symposium 2018, San Francisco, CA, USA, September 26-28, 2018 [link]

PATENTS

Private Synthetic Time Series Data Generation

Inventors: Josephine Lamp, Dexcom Inc.

US Patent Pending, 2023

TALKS

Clinical Decision Support in the Era of Big Data and Machine Learning

Expert Reactor Panelist with Don Detmer, MD, MA, University of Virginia, Christopher Longhurst, MD, MS, FACMI, UC San Diego Health and Gretchen Purcell Jackson, MD, PhD, FACMI, IBM Watson Health

AMIA 2019 Health Informatics Policy Forum, National Press Club, Washington DC, USA December 5th, 2019 [link]

Publications
Awards & Interests

Awards

FELLOWSHIPS

  • 2020 National Science Foundation Graduate Research Fellowship (NSF GRF), 2000 fellowships awarded out of ~12,900 applicants (15.5% acceptance rate) [more info] [UVA news article]

  • Olive B. and Franklin C. Mac Krell Jefferson Fellowship Recipient, awarded to “individuals of extraordinary intellectual range and depth … who demonstrate outstanding achievement and the highest promise as scholars, teachers, public servants, and business leaders in the United States and beyond.” 33 fellows selected out of 989 admitted PhD students at UVA (3.3% acceptance rate) [more info] [fellow bio]

  • UVA Distinguished Engineering Fellowship Recipient

CHALLENGES

  • 2020 NIH organized NHLBI (National Heart, Lung and Blood Institute) Big Data Analysis Challenge: Creating New Paradigms for Heart Failure Research for our Solution entitled Intelligently Characterizing Patient Hemodynamic Phenotypes for Advanced Heart Failure in the ESCAPE Trial Using Learned Multi Valued Decision Diagrams. The Challenge included a $50,000 prize. [more info]

AWARDS & HONORS

  • American Society of Echocardiography Foundation Top Investigator Grant, Only 25 selected, 34th Annual ASE Scientific Sessions Symposium, June 2023

  • Best Poster, UVA CS Fall 2022 Research Symposium, October, 2022 [more info]

  • Best Poster Presentation, UVA CS Fall 2021 Research Symposium, December 2021 [more info]

  • UVA Raven Society Inductee, February 2021

  • Sigma Xi Associate Member, June 2020 [more info]

  • UVA CS Department Outstanding Graduate Service Award 2019-2020, April, 2020 [more info]

  • Received a travel scholarship award to attend CPS Week in Montreal, Canada, April, 2019 [more info]

  • Selected to participate in the CRA-W Grad Cohort for Women Workshop in Chicago, IL, January 2019 [more info]

  • Student Scholarship to the Women in CyberSecurity (WiCyS) 2019 Conference in Pittsburgh, PA, December 2018 [more info]

  • Arizona State University Outstanding Graduate Award, May 2018, an award given to high-impact undergraduate students who are likely to make a difference in the world, and of which only one student from each college is selected (total of 17 students selected out of a graduating class of 15,000) [more info]

  • National Center for Women in Technology Collegiate Award Finalist, March 2018 [more info]

Service

PROFESSIONAL

UVA: Student Mentor, 2018 - Present

Since my first semester at UVA, I have mentored a variety of students including high schoolers, undergraduates and graduate students at all levels. As a result of working together (in addition to all the other awesome things they do!) my students have had tangible successes: they have published posters and publications, been accepted to top tier universities for graduate programs, and have won competitive scholarships and national fellowships.

UVA Writing Lab: NSF GRFP Application Mentor, 2020 - Present

I serve as a NSF GRFP writing lab mentor to help students who are applying for the NSF Graduate Research Fellowship. This includes helping with brainstorming, content and flow of ideas, and reviewing and editing application essays. Of the 6 students I have closely mentored throughout their entire application process, 4 won the fellowship.

Computer Science Graduate Student Group (CSGSG): Graduate Program Rep, Chair, and Diversity Rep, 2019 - 2021

From January 2019 - December 2021, I served as the Graduate Program Rep (2021), Chair (2020), and Diversity Rep (2019) of the Computer Science Graduate Student Group (CSGSG), equivalent to a graduate student council, that acts as the liaison between faculty and students. During my tenure, I revamped the organizational structure (added defined council positions), improved council efficiency and communication methods, helped pass instrumental changes to the graduate program requirements, started a Graduate Women in Computer Science group and hosted two departmental research symposiums. I received an outstanding service award for my work on the council in May 2020.

Conference and Workshop Organization, 2021

Jefferson Journal of Science and Culture: Co Editor-in-Chief, 2019

In 2019 I was the co editor-in-chief for the newly revamped Jefferson Journal of Science and Culture. The interdisciplinary journal serves to provide a venue where scholars who are doing cross-discipline work can publish articles related to specific topics. The journal is part of the Jefferson Scholars Foundation, and I helped set up and manage the journal, from setting up the website, planning out our call for submissions, writing submission guidelines, picking journal themes, and more. We also planned a conference for the accepted submissions to present their work in November 2019. More information about the journal is available via the website: http://journals.sfu.ca/jjsc/index.php/journal/index

COMMUNITY

Health and Privacy Policy (Washington D.C. and locally): Volunteer Consultant, 2018 - Present

I am involved with health policy, as I believe that change can only be affected through multiple facets, and that it is important to collaborate and communicate with other entities (i.e. the government). Specifically, I am working with Dr. Don Detmer and have made multiple trips to Washington DC to meet with Senate staffers and health-related committees (e.g. the US senate HELP committee) to provide input on current privacy and healthcare bills, including the “Protecting Personal Health Data Act,” proposed to the Senate in June 2019.

Computers4Kids: Workshop Mentor, 2018 - 2020

A fellow CS PhD student and I hosted weekly workshops at Computers4Kids, a local nonprofit serving low income 6th--12th graders that provides free mentoring and access to technology and STEAM projects from fall of 2018 - spring of 2020. Each week we guided students through various projects, such as temperature-changing lamps (using arduinos), building remote control cars from scratch, fun coding projects, cybersecurity and basic hacking camps, and wearable tech. It was such a great experience working with these brilliant students. I hope we inspired them to dive into the wild, ultra-creative world of CS and Engineering!

Service
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