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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<!-- <meta name=viewport content='width=700'> -->
<title>Davina Zamanzadeh</title>
<link href='https://fonts.googleapis.com/css?family=Raleway' rel='stylesheet' type='text/css'>
<link href='https://fonts.googleapis.com/css?family=Inconsolata' rel='stylesheet' type='text/css'>
<link rel="icon" type="image/png" href="IMG/favicon-32x32.png" sizes="32x32" />
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<link href="style.css" rel="stylesheet">
<script src="https://d3js.org/d3.v6.min.js"></script>
</head>
<body>
<!-- <svg id="svgCanvas" viewbox="0 0 2000 1000" preserveaspectratio="xMinYMin slice" width="100%" >
<g id="starGroup"></g>
</svg> -->
<div id="terminal" class="resizable">
<div id="topbar">
<span class="alignleft" id="buttons">
<div class="nav-button" id="close"></div>
<div class="nav-button" id="minimize"></div>
<div class="nav-button" id="expand"></div>
</span>
<p class="aligncenter" id="nav-text">
davina@zamanzadeh: ~
</p>
</div>
<div>
<ul id="tabs">
<li name="about" class="active-tab">about</li>
<li name="experience">experience</li>
<li name="research">research</li>
<li name="publications">publications</li>
<!-- <li name="projects">projects</li> -->
<li name="awards">awards</li>
<li name="credits">credits</li>
</ul>
</div>
<div id="shell-body">
<div id="about" class="active-content">
<div id="aboutcard">
<div id="face"></div>
<div class="extra-content">
<p style="margin-top:10px">Hi! I'm Davina.</p>
<p>I'm a machine learning engineer/data scientist.</p>
<div class="bubble-container">
<a href="mailto:[email protected]?Subject=Hello!" target="_blank">
<!-- <img src="IMG/contact_images/email.png"> -->
<i class="fa fa-envelope"></i>
</a>
<a href="https://www.github.com/davzaman" target="_blank">
<!-- <img src="IMG/contact_images/github.png"> -->
<i class="fa fa-github"></i>
</a>
<a href="https://www.linkedin.com/in/davinaz" target="_blank">
<!-- <img src="IMG/contact_images/linkedin.png"> -->
<i class="fa fa-linkedin"></i>
</a>
<!-- <a href="https://www.twitter.com/davzaman" target="_blank"> -->
<!-- <img src="IMG/contact_images/twitter.png"> -->
<!-- </a> -->
</div>
</div>
</div> <!-- end about card-->
<!-- More About -->
<li>
more about_davina.txt
<div class="timestamp"></div>
<section class="extra-content" id="aboutme">
<p>I am a (San Fernando) Valley girl, born and raised.</p>
<p>Received my <span class="magenta">PhD at UCLA</span> in computer science (CS) with an
emphasis in
machine learning and eHealth.</p>
<!-- <p>Awarded my <span class="cyan">MSc from UCLA</span>, also in CS.</p> -->
<p>Received my <span class="cyan">BSc at UCSB</span>, also in CS.
</p>
<p>Always down to talk about <span class="blue">skiing</span>, martial
arts, video games, or
sand volleyball.</p>
<!-- <p>Occasionally <a href="https://soundcloud.com/daviinci">make guitar -->
<!-- covers</a> or remixes.</p> -->
</section>
</li>
<!-- Downloadables -->
<li>
<a href="files/DavinaZ_resume.pdf" download="DavinaZ_resume.pdf" class="wget">
wget my_resume.pdf </a>
<div class="timestamp"></div>
</li>
<li>
<a href="files/DavinaZ_cv.pdf" download="DavinaZ_cv.pdf" class="wget">
wget my_cv.pdf</a>
<div class="timestamp"></div>
</li>
</div> <!-- end about-->
<div id="experience">
<!-- Experience (Blue) -->
<li class="terminal-line">
more about_experience.txt
<div class="timestamp"></div>
<section class="extra-content">
<h1 class="cyan">Data Science Intern at Microsoft</h1>
<p>I worked on the Bing Ads (Algorithms and Infrastructure) team during
the summer of 2021, developed a semi-novel knowledge
distillation technique for image deep neural networks (DNN) in a
multi-teacher setting. </p>
<h1 class="cyan">Machine Learning Intern at Pinterest</h1>
<p>I worked on the Search team during the summer of 2020, built ranking
model to improve query recommendations.</p>
<h1 class="cyan">Software Engineer Intern at Pinterest</h1>
<p>I worked on the Annotations pipeline as part of the Content/Knowledge
team during summer
2017.</p>
<h1 class="cyan">Software Engineer Intern at Impact Radius</h1>
<p>Spent a year at Impact Radius part time during the academic year,
full time over summer
2015-2016.</p>
<p>I worked on improving their metrics and monitoring systems as well as
internationalization
and localization workflow.</p>
<h1 class="cyan">Software Engineer Intern at GLENWorld</h1>
<p>Developed new features and mini-games for the XPrize Global Learning
Competition, part time
for a few months during 2015.</p>
<h1 class="cyan">Software Engineer Intern at Datapop</h1>
<p>Worked on internal tooling to optimize company workflow and to
resolve conflicts across
taxonomies, during summer of 2013 and 2014.</p>
</section>
</li>
</div>
<div id="research">
<!-- Research (Magenta) -->
<li class="terminal-line">
more about_research.txt
<div class="timestamp"></div>
<section class="extra-content">
<h1 class="magenta">Dissertation</h1>
<p><a
href="https://www.proquest.com/openview/31d93fe69283ed8fc03f7539cef7d493/1?cbl=18750&diss=y&pq-origsite=gscholar">Imputation
Is a Hyperparameter: Imputation Deep Learning Model Selection and Evaluation on Large
Clinical Datasets</a>
<br>
The framework I built for my work is <a
href="https://github.com/davzaman/autopopulus">available on GitHub</a>.
More about the dissertation below.
<h1 class="magenta">Researcher @<a href="http://er.cs.ucla.edu/">eHealth Research
Lab (eR Lab)</a> & <a href="https://mii.ucla.edu/">Medical Imaging and
Informatics Group (MII)</a> @ UCLA</h1>
<p>Working under Majid Sarrafzadeh and Alex Bui to do research in
machine learning (ML) with a focus on
applications in health and medicine.</p>
<ul style="text-align:left">
<li><b class="cyan">CURE CKD</b>: I am currently working with
nephrologists at UCLA Health to predict rapid kidney
function decline in patients with chronic kidney
disease.</li>
<li><b class="cyan">CRRT</b>: I also have another project with
nephrologists at UCLA Health on predicting if patients
near kidney failure will benefit from a gentler form of
dialysis called CRRT.</li>
<li><b class="cyan">Project REFOCUS</b>: Previously part of a
collaboration between UCLA Public Health, Howard
University, and the CDC to contruct a racism-aware
surveillance system.</li>
<li><b class="cyan">CD</b>: Previously, I spearheaded a project
to tackle clinical questions revolving around Crohn’s
Disease (CD) in collaboration with a research group at
Cedars Sinai.
</li>
</ul>
<!-- <p>I am currently spearheading a project that tackles clinical questions revolving around Crohn’s Disease (CD) in collaboration with a research group at Cedars Sinai.</p> -->
<p>Theoretical sub-fields I'm interested in include imputation and graph
representation learning.</p>
<h1 class="magenta">Programming Languages Lab (UCSB)</h1>
<p>Working under Prof. Ben Hardekopf to find an effective comparison
metric, based on linear algebra, to compare test sets/fuzzers.
</p>
<p>Assisted writing a paper with Prof. Hardekopf and PhD student
Miroslav Gavrilov based on this research.</p>
</section>
</li>
<li class="terminal-line">
more about_dissertation.txt
<div class="timestamp"></div>
<section class="extra-content">
<br>
<b>Abstract</b>
<br>
Many real-world datasets suffer from missing data, which can introduce uncertainty into ensuing
analyses. To address missing data, researchers have been developing, analyzing, and comparing
statistical and machine learning techniques for missing data estimation or imputation. In this
context, we built an original framework, Autopopulus, and performed novel analyses that explored
predictive pipelines using flexible autoencoder-led imputation. Our work examines
autoencoder-led
imputation with a deeper regard for the taxonomy of missingness scenarios and mixed feature data
of
large real-world clinical datasets. In this dissertation we quantify, in a direct manner, the
extent
to which different methods of imputation affect downstream tasks, and therefore provide
rationale
for how to choose a solution for a particular dataset and task. We illuminate important
decision-making points when assembling a data processing pipeline that handles missing data,
while
our framework itself allows researchers to apply and compare solutions directly in a unified way
for
any large dataset. We find that there are different imputation traits under a more granular
classification of missingness scenarios, and that trends between imputation performance
superiority
and predictive performance superiority do not align. Based on our exploration, we believe that
the
characterization of missingness in the literature must be expanded and that imputing accurately
is
not always necessary for predicting accurately. We are just beginning to have a clearer view of
just
how wide the gap is in our understanding and classification of missingness and have hope that
this
new information will lead to progress in comprehending both the unknown and the unknowable
</p>
</section>
</div>
<div id="publications">
<!-- Publications (Yellow) -->
<li class="terminal-line">
more about_publications.txt
<div class="timestamp"></div>
<section class="extra-content">
<ul style="text-align:left">
<li>
<b class="yellow">D. Zamanzadeh</b>, J. Feng, P. Petousis, A. Vepa, A. Bui, I. Kurtz.
"Improving continuous renal replacement therapy outcome predictions with machine
learning" Manuscript in
review for Nature Communication.
</li>
<li>
R. Schouten, <b class="yellow">D. Zamanzadeh</b>, P. Singh.
<a
href="https://www.youtube.com/watch?v=jMEzKFV-ilc&list=PLYx7XA2nY5GcBWLGTzhJ1vxGtHIcyHrRr&index=2">
<i>pyampute: a Python library for data amputation</i></a>.
21st Python in Science Conference 2022.
</li>
<li>
M. Wong, M. Wells, <b class="yellow">D. Zamanzadeh</b>, S. Akre, J. Pevnick,
A. Bui, K. Gregory
<a href="https://pubmed.ncbi.nlm.nih.gov/35752169/">
<i>
Applying automated machine learning to predict mode of delivery using ongoing
intrapartum data in laboring patients</i></a>.
American Journal of Perinatology 2022.
</li>
<li>
S. Nicholas, R. Follett, T. Tacorda, X. Wang, D. Ruenger, P. Petousis, B. Zhu,
T. Davis, <b class="yellow">D. Zamanzadeh</b>, K. Daratha, C. Jones, K. Norris, K.
Tuttle, A. Bui
<a href="https://digitalcommons.psjhealth.org/publications/5630/">
<i>
Disparities in CKD risks: Data from the cure-CKD COVID-19 sub-registry</i></a>.
Journal of the American Society of Nephrology 2021.
</li>
<li>
C. Ford, B. Amani, N. Harawa, R. Akee, G. Gee, M. Sarrafzadeh, C. Abotsi-Kowu,
S. Fazeli, C. Le, E. Nwankwo,<b class="yellow">D. Zamanzadeh</b>, A. Ovalle, and M.
Ponder
<a href="https://pubmed.ncbi.nlm.nih.gov/34948709/">
<i> Adequacy of Existing Surveillance Systems to Monitor Racism,
Social Stigma and COVID Inequities: A Detailed Assessment and
Recommendations</i></a>.
International Journal of Environmental Research and Public Health 2021.
</li>
<li>
D. Gordon, P. Petousis, H. Zheng, <b class="yellow">D.
Zamanzadeh</b>, A. Bui.
<a href="https://www.frontiersin.org/articles/10.3389/fdata.2021.693869/full">
<i>TSI-GNN: Extending Graph Neural Networks to
Handle Missing Data in Temporal
Settings</i></a>.
Frontiers in Big Data September 2021.
</li>
<li>
<b class="yellow">D. Zamanzadeh</b>, P. Petousis, T.
Davis, S. Nicholas, K. Norris, K. Tuttle on behalf of
the CURE-CKD Study team, A. Bui, M. Sarrafzadeh.
<i>Autopopulus: A Novel Framework for Autoencoder
Imputation on Large Clinical Datasets</i>.
IEEE Engineering in Medicine and Biology Conference
(EMBC) 2021.
</li>
<li>
S. Fazeli, <b class="yellow">D. Zamanzadeh</b>, A.
Ovalle, T. Nguyen, G. Gee, M. Sarrafzadeh. <i>COVID-19
and Big Data: Multi-faceted Analysis for
Spatio-temporal Understanding of the Pandemic
with Social Media Conversations</i>. arXiv
preprint arXiv:2104.10807 2021.
</li>
<li>
<b class="yellow">D. Zamanzadeh</b>, P. Petousis, T.
Davis, SB. Nicholas, A. Garlid, X. Wang, K. Norris, OK.
Duru, K. Tuttle on behalf of the UCLA Health-Providence
St. Joseph Health (UCLA-PSJH) CURE-CKD Registry Study
Team, AT. Bui, and M. Sarrafzadeh. <a
href="https://www.asn-online.org/education/kidneyweek/2020/program-abstract.aspx?controlId=3443015"><i>Using
autoencoders for imputing missing data
in eGFR decline trajectories of patients
with CKD</i></a>. American
Society of Nephrology (ASN) Kidney Week 2020.
</li>
<li>
T. Davis, P. Petousis, <b class="yellow">D.
Zamanzadeh</b>, A. Garlid, X. Wang, K. Norris,
OK. Duru, K. Tuttle, AT. Bui, and SB. Nicholas. <a
href="https://www.asn-online.org/education/kidneyweek/2020/program-abstract.aspx?controlId=3450039"><i>Predicting
Rapid eGFR Decline Using Electronic
Health Record (EHR) Data Despite High
Missingness in the CURE-CKD
Registry</i></a>. American
Society of Nephrology (ASN) Kidney Week 2020.
</li>
<li>
M. Gavrilov, K. Dewey, A. Groce, <b class="yellow">D.
Zamanzadeh</b>, B. Hardekopf. <a
href="https://ieeexplore.ieee.org/document/9282794"><i>A
Practical, Principled Measure of Fuzzer
Appeal: A Preliminary Study</i></a>.
IEEE International Conference on Software Quality,
Reliability, and Security (QRS) 2020.
</li>
<li>
A. Hosseini, <b class="yellow">D. Zamanzadeh</b>, L.
Valencia, R. Habre, A. Bui, M. Sarrafzadeh. <a
href="https://ieeexplore.ieee.org/document/8857135"><i>Domain
Adaptation in Children Activity
Recognition</i></a>.
IEEE Engineering in Medicine and Biology Conference
(EMBC) 2019.
</li>
<li>
M. Kachuee, K. Kärkkäinen, O. Goldstein, <b class="yellow">D. Zamanzadeh</b>, M.
Sarrafzadeh. <a href="https://arxiv.org/abs/1902.07102"><i>Nutrition
and Health Data for Cost-Sensitive
Learning</i></a>. arXiv preprint
arXiv:1902.07102 2019.
</li>
</ul>
</section>
</li>
</div><!-- end projects -->
<!--
<div id="projects">
<-- Projects (Yellow) --/>
<li class="terminal-line">
more about_projects.txt
<div class="timestamp"></div>
<section class="extra-content">
<h1 class="yellow">GauchoSell</h1>
<img src="IMG/gauchosell.png">
<p>GauchoSell is an Android mobile app that will allow students to
easily sell and bid on items
within their own community. This app will include features such
as filtering by category or
price ranges, monitoring the current bid for each item, allowing
sellers and buyers to back
out of bids, and many more.</p>
</section>
</li>
</div><-- end projects -->
<div id="awards">
<!-- Awards (Red) -->
<li class="terminal-line">
more about_awards_and_activities.txt
<div class="timestamp"></div>
<section class="extra-content">
<h1 class="red">Featured Guest on Health and Explainable AI Podcast (03/2023)</h1>
Discussed my experience working
on intersectional projects in the clinical domain, and my ideas on the future of responsible AI
in health.
<p>
<iframe
src="https://podcasters.spotify.com/pod/show/hexailab/embed/episodes/Davina-Zamanzadeh-on-Pitt-HexAI-e2112fb/a-a9iom72"
height="102px" width="400px" frameborder="0" scrolling="no"></iframe>
</p>
<h1 class="red">Scientific Python Community Manager</h1>
<p>Help moderate the Discord and the Discuss forum online of the
<a href="https://scientific-python.org/about/">Scientific Python community</a>.
</p>
<h1 class="red">
<a href="https://reporter.nih.gov/search/sgx_hpM9pE2iCofscsl6mw/project-details/10285905">
NIH KUH-ART TL1 Training Grant
</a> (2021 - 2023)
</h1>
<p> Awarded fellowship to conduct research in the areas relevant to benign
nephrology, urology and hematology.</p>
<h1 class="red">Podcast Treasurer and Content Advisor (2020 - Present)
</h1>
<p>Check us out at @FYInformatics (For Your Informatics). I used run the
Twitter account, help create visuals, logo animations, etc. Now I
manage the funds and help write and narrate the occasional episode.</p>
<h1 class="red">NIH T32 Training Grant (2018 - 2020) </h1>
<p>Awarded fellowship to pursue informatics towards improving health
outcomes on clinical
data.</p>
<h1 class="red">Graduate Dean’s Scholar Award (2018 & 2019)</h1>
<p>Departmental award given to highly recruited students who are deemed
to enhance UCLA’s
competitiveness.</p>
<h1 class="red">Grace Hopper Celebration Scholarship (2017) </h1>
<p>The Computer Science department at UCSB funded some of its students
for the first time to
attend the Grace Hopper Celebration of Women in Computing.</p>
<p>Honestly a wonderful event, I am looking forward to being able to
attend again in the future.
</p>
<h1 class="red">KPCB Fellow and Decision Committee (2017) </h1>
<p>I had the honor of being a part of the Kleiner Perkins Fellows
program while interning at
Pinterest.</p>
<p>After surviving eliminations out of thousands of applicants, I was
able to join 80 other
Fellows in many networking events and workshops with technical
leaders in Silicon Valley.
</p>
<p>Additionally, I served on the Decision Committee to help pick up
potential Fellows for 2018.
</p>
<h1 class="red">Phi Sigma Rho Chapter Founder</h1>
<p><a href="https://www.phisigmarho.org/">Phi Sigma Rho</a> is a
nationally recognized sorority
focused on women in STEM.</p>
<p>After responding to an an email blast for interest, I helped
establish the Alphi Xi chapter
of Phi Sigma Rho at UCSB and became part of the founding class
in Spring of 2016.</p>
<p>It wasn't until Fall of 2017 that we became an official chapter,
where we all wanted to cry
of happiness because our hard work had paid off.</p>
<p>Through the process of being in charge of designs, involved in
planning events, writing
bylaws, recruiting, and mentorship, I had an incredible and
rewarding experience with other
women engineers that I will always remember.</p>
<h1 class="red">SB Hacks Organizer</h1>
<p>Starting from my freshman year to my senior year, I watched as SB
Hacks grew into something
incredible.</p>
<p>I was involved with logistics (venue, food, etc), design, and getting
sponsors throughout my
time with the team.</p>
<h1 class="red">Thomas Edison Award (2013) </h1>
<p>I participated and won first place in my very first hackathon.</p>
<p>Out of 15 teams, and hours I don't want to think about, my team won
for most creative and
useful project for the company.</p>
<h1 class="red">Programming Club President and Founder (High School)
</h1>
<p>After taking Intro to CS at UCLA after my freshman year, I decided
that I alone should not
have to suffer the wrath of C++.</p>
<p>I saw there was no programming clubs at my school, so I made one.</p>
<p>In some odd foreshadowing of continuing to graduate school, I created
lessons plans as well
as coding exercises to teach C++ to club members.</p>
</section>
</li>
</div><!-- end awards -->
<div id="credits">
<li class="terminal-line" id="more-credits">
more credits.txt
<div class="timestamp"></div>
<section class="extra-content">
<p>Terminal colors inspired by <a href="https://ethanschoonover.com/solarized/">Solarized
theme</a>, or <a href="https://draculatheme.com/terminal/">Dracula
theme</a> depending
on my mood.</p>
<!-- <p>Background modified from <a -->
<!-- href="https://www.satellytes.com/blog/twinkling-night-sky-with-shooting-stars-made-in-svg/">Georgios -->
<!-- Kaleadis</a>.</p> -->
<p>Resume designed and built by Davina Zamanzadeh with XeLaTeX.</p>
<p>CV design by <a
href="https://www.sharelatex.com/templates/cv-or-resume/professional-cv">Alessandro
Plasmati</a>, which inspired my design.</p>
<p>Website designed and built by Davina Zamanzadeh with Stack Overflow.
</p>
</section>
</li>
</div><!-- end Credits -->
</div><!-- end shell body -->
</div> <!-- end terminal -->
<!--scripts!!-->
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