HELLO, I'M
Josephine Lamp
Computer Science PhD Candidate, NSF Graduate Research Fellow & Jefferson Fellow @ UVA
Josephine Lamp
CS PhD Candidate
NSF Graduate Research Fellow
Jefferson Fellow
University of Virginia
Charlottesville, VA, USA
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
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September, 2023 - Our paper "GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces" has been accepted to NeurIPS 2023!
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May 2022 - Our paper Systemic arterial pulsatility index (SAPi) predicts adverse outcomes in advanced heart failure patients has been published in Heart & Vessels Journal
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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.
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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.
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April, 2020 - I am incredibly humbled to announce that I am a 2020 NSF Graduate Research Fellow. More details can be found here!
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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
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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
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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!
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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!
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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.
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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.
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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
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
Selected Publications & Talks
CONFERENCE / JOURNAL PAPERS
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]
Awards
FELLOWSHIPS
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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]
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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]
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UVA Distinguished Engineering Fellowship Recipient
CHALLENGES
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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
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American Society of Echocardiography Foundation Top Investigator Grant, Only 25 selected, 34th Annual ASE Scientific Sessions Symposium, June 2023
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Best Poster, UVA CS Fall 2022 Research Symposium, October, 2022 [more info]
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Best Poster Presentation, UVA CS Fall 2021 Research Symposium, December 2021 [more info]
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UVA Raven Society Inductee, February 2021
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Sigma Xi Associate Member, June 2020 [more info]
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UVA CS Department Outstanding Graduate Service Award 2019-2020, April, 2020 [more info]
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Received a travel scholarship award to attend CPS Week in Montreal, Canada, April, 2019 [more info]
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Selected to participate in the CRA-W Grad Cohort for Women Workshop in Chicago, IL, January 2019 [more info]
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Student Scholarship to the Women in CyberSecurity (WiCyS) 2019 Conference in Pittsburgh, PA, December 2018 [more info]
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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]
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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
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Web Chair, International Conference on Runtime Verification 2021
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Co-Chair, Medical Cyber Physical Systems and Internet of Medical Things Workshop, as part of the CPS-IoT Week 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!