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people.yml
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people.yml
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- section: "Current Lab Members"
members:
- name: Finale Doshi-Velez
site: https://finale.seas.harvard.edu/
image: /images/people/finale.jpg
hover: /images/zebra_corn.png
title: Principal Investigator
blurb: |-
Finale has been an afficianado of all things unicorn since 2005 and currently heads a team of mischieve-makers and chaos stokers at DtAK.
- name: Weiwei Pan
title: Research Scientist, Assistant Director of Graduate Studies in Data Science
site: https://onefishy.github.io
hover: /images/dodo_corn.png
image: /images/people/weiwei.jpg
blurb: |-
I am interested in building models with gauranteed properties that align with task-specific desiderata, such as interpretability, risk-awareness, satifaction of domain-specific constraints. I like to spend my spare time engineering DtAK shennanigans.
- name: Siddharth Swaroop
title: Postdoctoral Fellow
site: https://siddharthswaroop.github.io
hover: /images/pony_purple.png
image: /images/people/siddharth.jpg
blurb: |-
I work on (the ML side of) human-computer interaction ideas, as well as probabilistic models, Bayesian neural networks, and continual lifelong learning. When I am not thinking about those things, I enjoy playing board games and racquet sports.
- name: Alihan Hüyük
title: Postdoctoral Fellow
site:
image: /images/people/alihan.png
hover: /images/pony_blue.png
blurb: |-
I research how to model, understand, and improve human decision-making behavior.
- name: Anna Trella
title: PhD Candidate, 5th Year
site: https://annatrella.github.io/
image: /images/people/anna.jpg
hover: /images/pika_corn.png
blurb: |-
I did my undergrad at UC Berkeley in Applied Math and a minor in American History. In industry, I worked for 2 years as a Software Development Engineer at Amazon. I was the technical lead for mobile app development in the acquisition of Whole Foods Market onto Amazon.com and the launch of Amazon Fresh 2 hour delivery as a core Prime benefit. I enjoy dancing, playing the piano, preforming a one person show of Hamilton the Musical to myself, and playing Nintendo games!
- name: Abhishek Sharma
title: PhD Candidate, 5th Year
image: /images/people/abhishek.jpg
hover: /images/squirel_corn.png
blurb: |-
My research interest lie in probabilistic machine learning and decision-focused modeling, and my methods are strongly motivated by applications in healthcare.
site: https://abhishekshar.com/
- name: Eura Shin
title: PhD Candidate, 5th Year
image: /images/people/eura.jpg
hover: /images/a_corn.png
site: https://eurashin.github.io/
- name: Sarah Rathnam
title: PhD Student, 4th Year
site: https://sarahrathnam.github.io
image: /images/people/sarah.png
hover: /images/pony_cyan.png
- name: Esther Brown
title: PhD Student, 3rd Year
site: https://estherbrown1.github.io/
image: /images/people/esther.png
hover: /images/pony_blue.png
blurb: |-
Hi! I am a PhD student in Computer Science at Harvard University. I am advised by Professor Finale Doshi-Velez of the Data to Actionable Knowledge (DtAK) Lab. My research focuses on reinforcement learning and machine learning models for decision-making under uncertainty.
- name: Léo Benac
title: PhD Student, 3rd Year
image: /images/people/leo.png
hover: /images/pony_cyan.png
blurb: |-
I am a first-year Ph.D. student at DTAK. My primary research interest lies in Reinforcement Learning in Healthcare Settings. More specifically I’m interested in developing novel methods to help clinicians understand better which treatments are more appropriate depending on the patients features. In my free time, I love playing and watching basketball.
- name: Robert Tello Ayala
title: PhD Student, 3rd Year
site: https://robtelloayala.github.io/
image: /images/people/robert.png
hover: /images/pony_blue.png
- name: Hiwot Belay Tadesse
title: PhD Student, 2nd Year
site: https://hiwot985.github.io/
image: /images/people/hiwot.png
hover: /images/pony_purple.png
- name: Paigu
title: Director of Student Support
image: /images/people/paigu.png
hover: /images/pony_purple.png
blurb: |-
Paigu is the official DtAK dog and the unofficial DtAK therapist. Paigu holds regular office hours for DtAK members throughout the year. When he is not working hard at caring for the DtAK community, he can be found chewing, scratching, sniffing, licking, and is generally up to no good.
- section: "Former Members"
members:
- name: Yaniv Yacoby
title: PhD Graduate
site: https://yanivyacoby.github.io/
hover: /images/tricera_corn.png
image: /images/people/yaniv.jpg
blurb: |-
I work on uncertainty quantification and tractable approximate inference for deep Bayesian latent variable models, with applications in health-care. Before joining DtAK, I earned my Masters in Music in Contemporary Improvisation from the New England Conservatory in 2016 and my AB in Computer Science from Harvard College in 2015.
- name: Beau Coker
title: PhD Graduate
site: https://beaucoker.github.io
image: /images/people/beau.jpg
hover: /images/fish_corn.png
- name: Isaac Lage
site: https://isaaclage.github.io/
title: PhD Graduate
image: /images/people/ike.jpg
hover: /images/cat_corn.png
blurb: |-
In my research, I work on improving human-machine decision making by optimizing machine learning models with human feedback. In my free time, I enjoy cooking, and playing board games with my partner and cat (the cat is a sore loser).
- name: Marton Havasi
title: Postdoctoral Fellow
site: https://mhavasi.github.io
hover: /images/pen_corn.png
image: /images/people/marton.jpg
- name: Jiayu Yao
title: PhD Graduate
site: https://yaojiayu0826.github.io
image: /images/people/jiayu.jpg
hover: /images/bunny_corn.png
- name: Sonali Parbhoo
site: https://sites.google.com/view/sonali-parbhoo/home
title: Postdoctoral Fellow
hover: /images/turtle_corn.png
image: /images/people/sonali.jpg
blurb: |-
My research focuses on reasoning in uncertainty, causal inference, and learning interpretable models for medical decision-making and problems in healthcare. I completed my PhD in 2019 at the University of Basel in Switzerland, where I was advised by Prof. Volker Roth. Prior to this, I received my MSc at the University of the Witwatersrand, South Africa. Apart from research, I enjoy travelling, learning about other cultures, playing badminton and cooking.
- name: Andrew Ross
site: https://asross.github.io/
title: PhD Graduate
hover: /images/corn_corn.png
image: /images/people/andrew_ross.jpg
blurb: |-
My research focuses on optimizing classifiers, regressors, and autoencoders to be more interpretable, robust, and consistent with expert knowledge. In my free time, I enjoy cooking, singing, and making extremely _corny_ jokes!
- name: Melanie F. Pradier
title: Postdoctoral Fellow
hover: /images/mouse_corn.png
image: /images/people/melanie.jpg
site: https://melaniefp.github.io
blurb: |-
I work on probabilistic models, interpretable machine learning, and healthcare applications. I am interested in personalizing mental healthcare and advances in Bayesian neural networks. I want my research to have an impact in the world, for which I collaborate regularly with psychiatrists at Massachusetts General Hospital, and experts in Human-Computer-Interaction. How can we better quantify uncertaint? How can we design expressive, interpretable priors in Bayesian models? How can we combine human knowledge with data-driven evidence? I love Japanese culture, sports of any kind, and playing with my dwarf rabbit Taiko.
- name: Omer Gottesman
title: PhD Graduate
image: /images/people/omer.jpg
hover: /images/pony_blue.png
site: https://scholar.google.com/citations?user=glNJx5zYUbsC&hl=en
- name: Joe Futoma
site: https://jfutoma.github.io/
title: Postdoctoral Fellow
image: /images/people/joe_futoma.jpg
hover: /images/llama_corn.png
- name: Muhammad Arjumand Masood
title: PhD Graduate
image: /images/people/arjumand.jpeg
hover: /images/pony_yellow.png
blurb: |-
During my PhD, I worked primarily on understanding the presence of meaningfully diverse optima in the solution space of machine learning problems and designed algorithms to discover a representative solution set of that diversity. The specific algorithms I worked on involved Bayesian Non-negative Matrix Factorization and policy-gradient methods in Reinforcement Learning. Healthcare applications included understanding comorbidities in Autism and learning treatment strategies for Sepsis (in the ICU). I’m currently working in the data-science consulting space where I engage with a broader class of modeling techniques. My goal is to understand business problems, identify and apply appropriate algorithms to solve them, and convert modeling solutions to actionable business decisions.
- name: Michael C. Hughes
title: Postdoctoral Fellow
image: /images/people/mike_hughes.jpg
hover: /images/pony_orange.png
site: https://www.michaelchughes.com/
- name: Taylor Killian
site: https://twkillian.github.io
title: ME Graduate
image: /images/people/taylor_killian.jpg
hover: /images/pony_red.png
blurb: |-
After graduating from Harvard in 2017, Taylor returned to work for MIT
Lincoln Laboratory and is currently pursuing a PhD from the University
of Toronto, affiliated with Vector Institute. His research encompasses
various efforts addressing decision making under uncertainty grounded
in challenges within healthcare.
- name: Mahdi Pakdaman
title: Postdoctoral Fellow
image: /images/people/mahdi.jpg
hover: /images/pony_blue.png
site: https://scholar.google.com/citations?user=kVjUep8AAAAJ&hl=en