Name: Health Hackathon
Start: 2020-02-07T17:00:00-05:00
End: 2020-02-09T15:00:00-05:00
Location: Belfer Research Building

The Event

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The Event

About

Contact

RSVP

ai Health Hackathon

February

8th

at

5:00pm

TEAMS POSTED BELOW

health Meets Innovation

the nyc health ecosystem + the next gen of talent + weekend incubation

This Health Hackathon aims to foster innovative multidisciplinary team science using artificial intelligence and machine learning. Artificial Intelligence (AI) and Machine Learning (ML) provide an exceptional opportunity to accelerate and revolutionize human health. The Hackathon will nurture collaborations across different fields and includes wearable devices, smart phones, other sensor-related technology, genetics, images and electronic health records. It is open to all students and research scientists including bioinformatics, computer programming, bio-statistics, and other computer programming related disciplines. A key component of the Hackathon is team development which includes students and researchers at all levels of the research process.

AI and machine learning approaches have a variety of applications throughout all stages of the translational science spectrum. They require interdisciplinary collaborations to support well-defined projects emphasizing development of machine intelligence-based systems, emerging tools, and modern technologies for diagnosing disease and health conditions.

A COLLABORATION WITH

WITH CTSC PARTNERS

IN COLLABORATION WITH

SPONSORED BY

with support from

ADDITIONAL GIFTS PROVIDED BY

TEAMS

WINNER MOST IMPACTFUL $1,500

Team: DeStroke

A mobile app detecting a stroke and brain health

Ciarra King- Fashion Institute of NY '21
Evan Noch- Weill Cornell, MD/PhD Biomedical Neuroscience '13
Suniyya Waraich- Weill Cornell Medicine PhD Neuroscience '23
Tomer M. Yaron- Weill Cornell Medicine PhD Comp Bio '21
Yubin Xie- Weill Cornell Medicine MS Comp Bio & Medicine '22

Dmitrii Meleshko - Weill Cornell Medicine

WINNER MOST INNOVATIVE $1,500

Team: Bandages 2.0

We are a preventative, post operative implantable smart biosensor.

Frez Noel- Cornell, ILR BS '21
Henry Weng- CUNY, Queens College BA Sociology '20
Jeffrey Ly- Cornell Engineering, MEng Bio Engineer '19
Joanna Ashby- Harvard Medical, Medicine '20
Ruihong Wang- Cornell Engineering, MEng Biomed Engineer '19

WINNER MOST TECHNICAL $1,500

Team: Blue Peace

Platform for panic attack detection and treatment.

Jack O'Hara- Cornell Tech MBA Healthcare Leadership '19
Manish Balakrishnan- Stevens Institute of Tech BE Elec Engineer '20
Ryan O'Shea- Stevens Institute of Tech BS CPE '20
Won Young Choi- Cornell Engineering MEng Engineering Mgmt '19

HONORABLE MENTION/ TOP TEN

Team: OptoChart

Portable eye chart for rural populations

Diana Mistry- Cornell SC Johnson MBA '20
Esther Zusstone- Univ. of Cincinnati College of Med BSN Medicine '20
Krysta Scimeca- Cornell Vet DVM Vet Med '20
Monaz Mistry- Harvard PreMed '20

HONORABLE MENTION/TOP TEN
Team: MasquerAID

MasquerAID is a comfortable, reusable and fashionable flu-preventative mask equipped with novel bioactive filter and is designed for everyday wear for all ages.

Elizabeth Horch- Weill Cornell Medicine PhD Immunology '24
Ning Ma- Icahn Medical School of Mt Sinai PhD Clinical Research '21
Qi Zeng- Icahn Medical School of Mt Sinai PhD Clinical Neurosci '20
Zoe Zhao- Weill Cornell Medicine PhD PBSB '20

TOP TEN

Team: Grocery Heart

GroceryHeart: Better Foods for your Cart

Andrew Marderstein- Weill Cornell PhD Comp Bio & Medicine '22
David Danko- Weill Cornell PhD, Tri-I CBM '20
Jamal Elkhader- Weill Cornell PhD Comp Bio & Medicine '20
Molly Mandel- CALs '17 Lavazza Premium Coffee Analyst
Scott Kulm- Weill Cornell Medicine PhD PBSB '22

TOP TEN
Team: Med-Rec-Yourself

A mobile application to load patients’ medications, supplements, and vitamins prior to medication reconciliation.

Benjamin Ramalanjaona- SUNY-College of Medicine MD '19
Crystal Ren- Columbia University BS CS '19
Kaylee Wedderburn-Pugh Columbia University BS BioChem 18
Lauren Pomerantz- Memorial Sloan Kettering Cancer Center Clinical Research Coordinator
Lily Zhao- Columbia University BS MechE '19

TOP TEN

Team: AeroShield

Providing a personal bubble of clean air.

Jack Nichols- Cornell A&S BA College Scholar '22
Diego Gonzalez- Hunter High School '24
Eeshan Tripathii-High School Senior- Incoming MIT Freshman

TOP TEN

Team: Amelia

An easy and accessible platform to create peer support for young people with depression

Chelsea Michael- Weill Cornell Medicine MS Health Informatics '19
Susanna Wu- Cornell SC Johnson MBA Digital Tech '20
Yingge Shen- Cornell Architecture MS Regional Planning '19
Yuka Fukuoka- School of Visual Arts MFA Design for Social Innovation '19

TOP TEN
Team: Bloom (Psyche)

Bloom is a rehabilitative app for anorexic individuals on the road to recovery. It utilizes biosensors and positive reinforcement to promote healthy eating habits.

LeeAnn Marcello- Cornell University BS HBHS '19
Qiwei He- Cornell Engineering MEng Biomed Engineer '19
TJ Hurd- Cornell Engineering BS Elec & Computer Engr '19
Vini Tripathii- Cornell Engineering BS Elec & Computer Engr '20

Team: Phola

We are a subscription-based health service web application that leverages healthcare providers who are not doctors.

Aaliyah Holliday Cornell A&S BS Biological Sci '21
Chen Liu Cornell HumEc BS GPHS '19
Diane Li Weill Cornell Medicine Health Analytics '19
Gia Ngo Cornell Engineering PhD Elec & Computer Engr '24
Marang Matlala Columbia University MS Tech Mgmt '19
Ronya Strom Cornell Engineering BS BioMed Engineer '22

Team: E-Z Pour

Affordable, multi-pouring media system to streamline your research

Chandrima Bhattacharya- Weill Cornell Medicine MS Comp Bio '20
Rekha Murali- Weill Cornell Medicine MS Comp Bio '20
Vijay Soni- Weill Cornell Medicine Post Doc Medicine '20
Zeyu Wang- Weill Cornell Medicine MS Computational Biology '20

Team: yURI

yURI is a text-based service that will leverage patient-reported data to prevent outbreaks of communicable respiratory infections

Akanksha Kapoor Cornell Engineering MEng Biomed Engineer '19
Matthew Avila '18 Intnl Rescue Committee Program Associate
Spencer Krichevsky Weill Cornell Medicine MS Health Informatics '20
Xianyi Han Cornell A&S BA CS '19
Zhilong Li Cornell Engineering BS CS '19

Team: Positive [Tymed]

Notification scheduler powered by community support.

Lorien Shakib Weill Cornell Medicine PhD PBSB '23
Marjan Zaman Weill PhD PBSB '23
Matthew Brendel Weill Cornell Medicine PhD PBSB '23
Yuanqing Wang Weill Cornell Medicine PhD PBSB '22
Zakieh Tayyebi Weill Cornell Medicine PhD Comp Bio & Medicine '23
Ziqing Zhao Cornell CiS MHA Statistics '19

Team: SkinCheck

An app that uses image recognition techniques and machine learning algorithms, specifically convoluted neural networks, to input images taken by individuals on smartphones and return personalized educational information about potential illnesses that they may be at risk for.

Edward Sheu- NYU BA CS '21
Jonathan Yiu- University of SoCal BS CS '20
Kevin Kim- Rice University BA CS '20
Kevin Wang- Cornell Engineering BS CS '20
Rajat Mohanka- NYU BS Science & Tech, Biomolecular Sci '19

Team: RespiWear

A modified respirator design paired with a mobile app and some gadgets

Edwin Carbajal- Manhattan Comm. College, CS '20

Ahmed Qabil-Zewail City BS Aerospace Eng '19

Marija Dacic- Weill Cornell Medicine

Ahmed El-Sherbiny

Team: purlo

Daniel Green Cornell CALs MS Marketing '19
Daniel Weiser Cornell CALs BS Environmental Science '19
Miao Jia Cornell HumEc MS Design & Enviro Analysis '19
Nevin Yusufova Weill Cornell Medicine BA Chem PhD Molecular Bio '20

Team: Pro.Fit

Pro.fit draws from research on variable reward, instant gratification, and risk aversion to motivate users finish through on their health commitments.

Jordan Dotzel Cornell Engineering PhD Elec & Computer Engr '25
Rahul Naryani Cornell

February

8th

at

5:00pm

TEAMS

Grand Prize $2,000 and IBM 3rd Prize $500

Vital Mask

VitalMask is a washable, reusable filter mask that monitors and projects vitals in the ER room. It prevents disease spread and saves valuable time for the doctors.

Breanna Veilleu,Stevens Institute of Tech -BS Electrical Engineering '20
Jason Chen, Cornell A&S -BA Biology '22
Alli Fleisher, Cornell Engineering -BS Biomed Engr '21
Longsha Liu, Cornell A&S -BA Biology '21
Kristen Ong, Cornell Engineering -BS Biomed Engr '21
Ray Wei, Cornell Engineering -BS CS '21

IBM Grand Prize $2,000

Lime Light

A remote sample kit plus platform that empowers the individual during an outbreak

Courtney Grady,Rutgers - PhD Immunology '20
Sabrina Lee, National University of Singapore - BA Psychology '21
Min Kai (Ivan) Leo, Yale - BA Computer Science '22
Reuben Tan, National University of Singapore - BS CS '21
Fanying Tang, Weill Cornell - MS BCMB '20
Giussepe Yanez, Hunter College - BA Biological Sciences '20

Best Diagnostic Application $1,000

Open Cell Ai

OpenCellAI is a platform for clinicians and scientists to leverage their own patient data to generate machine learning classifiers for the early diagnosis of blood disorders.

Henri Berger, Weill Cornell - PhD BCMB '23
Vladyslav Kuz, Rutgers University - BA Math, BS CS '20
Emily Olafson, Weill Cornell - PhD Neuroscience '24
Daniel Pati, SC Johnson - MBA '20
Nelson Wang, Brooklyn College - BA CS '23
Gary Zhuge, Cornell A&S - BA CS '21

Most Technical $1,000 and IBM 2nd Place Prize $1,000

Outbreak

Our method uses viral protein sequences to train a ML algorithm to evaluate correlations between structural features, virus contagiousness and lethality.

Mustafa Buyukozken, Weill Cornell
Annalise Schweickart, Weill Cornell - PhD Tri-I CBM '23
Leona Chitoiu, U of Bucharest - MS Biochem & Molecular Biology '20
Princesca Dorsaint, Weill Cornell -EIPM Bioinformatics Analyst
Giulio Formenti, Rockefeller PhD Bioinformatics
Yajas Shah, Weill Cornell PhD PBSB '24

Finalist

Smart Beats

Smart beats is an automated cardiac sound analysis tool capable of screening for pathologic heart sounds for high-risk patients to be able to monitor their own heart sounds and seek earlier treatment, before serious complications can occur.

Shirley Chen, Weill Cornell - MD Biomedical Computation '23
Yunchan Chen, Weill Cornell - MD BME, Applied Math & Statistics '23
Candace Chien, Weill Cornell - MD
Coco Liu, Weill Cornell -PhD BCMB '25
George Zhou, Weill Cornell - MD Medicine '23

Finalist

Corona Tracker

An app uses geolocation and anonymous identification to notify users of their personal risk of contracting the coronavirus.

Daeqwon Hunter, General Assembly - SE '19
Hector Perez, General Assembly - SE '19
James Kim, Cornell CALs - BS AEM '22
John Smith, Cornell A&S - BA STSCI '21
Yiwen Wang, Weill Cornell - MS BDS '20
Yi Hang (Ian) Yen, Weill Cornell - MS Health Informatics '20

Finalist

CT Supermakers//Mimaging

Use an immersive CT scan VR experience to predict patients at risk for rescanning - prompting preventative actions to improve patient experience, provider workflow, and cost reduction.

Karan Bains MD, Cornell Tech MBA '21
Janvi Gandhi, Weill Cornell - MS Health Policy & Econ '20
William Leon, SC Johnson - MBA '20
Hufsa Tasnim, City College of NY- BE Biomedical Engineer '21
Mariya Tasnim, Cornell Engineering -BS MechE '21
Johnway Yih, Cornell Tech - MBA '20

Finalist

DiagKnows

Machine learning to improve stroke prediction algorithms

Ashley Stephen Doane, Weill Cornell - PhD CBM '20
Murphy Lu MD, Cornell SC Johnson - MBA Neuroscience & Physics '20
Kevin McPherson, Montgomery College - AS CS, BS Biology '21
Dmitrii Meleshko, Weill Cornell - PhD CBM '22
Stephen Price, Carnegie Mellon University - BS Comp. Bio. '21

Finalist

Invictus BCI

Our mission is to create a more affordable neuroprosthetic that can restore near natural functionality.

Rony Krell, Cornell Tech - MS Health Tech '21
Willy Lin, Cornell Tech - MEng ORIE '20
Anirudh Shah, Cornell Tech - MEng ORIE '20
Eeshan Tripathii, MIT - BS CS '23
Vini Tripathii, Cornell Tech - MEng ECE '20
Dan Witte, Cornell Tech - MS Health Tech '21

Finalist

HarmonAi

Smart accupressure

Jeffrey Zhang, Cornell Engineering - BS CS '20
Shiang-Wan Chen, Cornell Engineering - PhD Systems Engr & CS '22
Dawood Hafeez MD, Cornell HumEc - MHA '21
Alan Li, Harvard - MBA '20
Daniel Piqué, Einstein College of Medicine - PhD Comp Bio '20
Chloe Wang MD, Cornell Tech - MBA '20

Finalist

Known

KNOWN aggregates patient medical records from different sources through NLP technology to a create an easily digestible report in a platform for both patients and caregivers.

Mohammed Amir Afaq, Weill Cornell - PhD Biotech '20
Ameni Alsaydi, NY City College of Tech- BS Biomedical Informatics '19
Antonio Flores, City University of NY - BS Bio '20
Samuel Isaac, Weill Cornell - MS Health Informatics '20
Harley Keh, SC Johnson - MBA/MHA '21
Nate Ngbondo Koweda, Cornell Tech - MBA '20

Finalist

MyHealth

An app which seamlessly connects patients' medical records with their caregiver with consent (of course!)

Vikram Ho vwh2107@columbia.edu Columbia University BA CS '20
Joseph Liu, NY City College of Tech-BS BioInformatics & Data Sci '22
Destiny Meador, Cornell CALs -BS Plant Sci & Bio '22
Aaphsaarah Rahman, Weill Cornell - MS BDS '20
Cassandra Wojtasiewicz, Cornell HumEc -BS HBHS '23

Finalist

NutriLine

An app that enables patients and their providers to monitor patient's nutritional intakes.

Justin Chassin, Stony Brook University - BS CS, Applied Math '21
Jahin Imtiaz, Stony Brook University - BS CS '21
Nahin Imtiaz City College of NY - CUNY BS CS '21
Sohum Pandey, Weill Cornell - MS Health Policy & Econ '20
Yue Yang, Weill Cornell - MS Health Policy & Econ '20
Mehdad Zaman, Stony Brook University - BS CS '22

Finalist

Rehub

Self-service, at-home physiotherapy

Maiko Minami,Cornell SC Johnson - MBA '21
Srikant Movva, Cornell SC Johnson - MBA '21
Akanksha Jain, Cornell HumEc - BS HBHS '20
Sabah Mohammed, Cornell HumEc - MS Human + Design '21
Jeffrey Mok, Cornell Tech - MBA '20
Christina Valauri, Cornell SC Johnson - EMBA '20

Finalist

SIRen

Our product is a travel app that allows users to travel confidently by being aware of their risk of contracting coronavirus and preventative measures they can take to reduce that risk.

Ashritha Bheemidi, Cornell Engineering - BS BEE '20
Nia Davis, Pace University - BS CS '22
Sara Jumabhoy, Weill Cornell - MS Health Policy & Econ '20
Kareena Sagar, Cornell A&S - BA Bio Sciences '20
Jess White, Weill Cornell - MS Comp Bio '21
Mark Yacoub, Cornell HumEc - MHA '21

Finalist

Train.Blind.Detect//NY.SEE

Object/text recognition program with haptic feedback to navigate subway systems

Brian Hsia, Einstein College of Medicine - MD Internal Medicine '20
Heejin Jeong, UPenn - PhD ESE '20
Kira Lin, Einstein College of Medicine - MD '21
Christine Shen, Einstein College of Medicine - MD '23
Clark Zhang, UPenn - PhD ESE '21

Finalist

Ferri

Point of care diagnostic biosensor to detect the amount of ferritin in blood of Hemochromatosis.

Nazneen Ali, Columbia University - MHA HPM '20
Moideen Kalladi, Harrisburg U of Science & Tech - MS CS '20
Sijjad Khalid, Bucks County Community College - BS CS '22
Anna Kolstad, Mt Sinaii Research Assistant
Amaad Rafi, University of Delaware - BS CS '20
Megha Sharma, NYU - MS Biotech '20

Finalist

Type II Beta

Mel is an A.I. powered chat specializing in providing patients up-to-date information on diabetes symptoms, treatments, current research and more.

Karina Camarena, Weill Cornell - MS BDS '20
Deepak Dhankani PhD, Weill Cornell - MS Bio Stats & Data Sci '20
Merin Grace, Weill Cornell - MS Biostats & Data Science '20
Roland Hentz, Weill Cornell - MS Biostatistics '20
Raymond Lee, Hunter College - BA CS '21
Kimberly Wong, Weill Cornell - MS Health Econ '20

Finalist

Wuhan Clan

FluView employs computer vision to detect cough and alert users of surfaces and areas most in need of cleaning and sanitation

Bina Bansinath, Columbia University - BS BME '21
Xinrui Chen, Weill Cornell - MS Biostatistics & Data Science '20
Matthew Crovella, Cornell HumEc - BS Health Care Policy '23
Jacob Nye, Columbia University - MS BME '20
Wenyu Zhu, Weill Cornell - MS Bio & Data Science '20
Tianran Zhang, Weill Cornell MS BDS '20

Skin Lens

AI based skin ailment pre screening platform.

Sarath Chandra, Cornell Tech - MEng ORIE '20
Prashant Jain, Cornell Tech - MS CS/IS '21
Avnish Kumar, Cornell Tech - MEng CS '20
Ravi Theja Reddy, Cornell Tech - MEng CS '20
Saloni Vishwakarma, Weill Cornell - MS Comp Bio '21

LAibel

A data labeling platform to connect data holders with experts

Jashan Ahuja, Cornell Tech - MBA '20
Pargol Gheissari, Cornell Tech - MS HT '20
Will krasnoff, Cornell Tech - MS CM '20
Ishan Virk, Cornell Tech - MEng Health Tech '20

Coding Smart

An AI-powered smart medical codes generator

Jordan Dotzel, Cornell Engineering - PhD ECE '24
Andrea Qiu, Cornell Tech - MS IS in Health Tech '20
Yu-Yu Shih, Cornell JCB-Dyson - MPS AEM '20
George Wang,
Shengchao (Alex) Xu, Cornell Tech - MBA '20

Scrappy

Self-service at-home computer vision based physical therapy solution

Joey Baruch, Cornell Tech - MBA '20
Peter Kaplinsky, Cornell CALs - BS
Prithvi Sriram, Cornell Tech - MEng CS '20
Juliet Zhong, Cornell CiS - MEng CS & ORIE '20

Friday February 7

Zuckerman Research Center at Memorial Sloan Kettering

417 E. 68th ST

5:00PM Welcome

Dr. Imperato-McGinley, Director -Weill CTSC

5:05 PM Keynote
Jim Swanson, EVP & Group CIO - Johnson & Johnson

5:25PM John Walicki, CTO, IoT Advocacy- IBM

5:45PM Lightning Talks
Evan Noch MD, PhD - 2019 Hackathon Winner: DeStroke

Anais Rameau '04 MD - 2018 Hackathon Winner: Myophonx
Neel Madhukar PhD , CEO & Founder of One Three Biotech

6:00PM Resources, Tech, & Challenges

Andrika Thomas-CTSC 3D Printing Lab

Alex Sigaras- Research Assoc. in Computational Biomedicine

6:07PM Logistics Overview
Ami Stuart, Tech Events Manager

6:15PM Students with Ideas Pitch (90 seconds)

Move to Belfer Research Building
7:15PM Dinner & Team Formation
Participants approach people whose ideas they'd like to work on/work with to form teams of 4-6 members

8:30PM Design Thinking Workshop

11:00PM Space Evacuated for Evening

Saturday February 8

9:30AM Breakfast

12:00PM Lunch

1:30PM Team Check-in #1
One member of each team provides an update

(2pm-3:30pm Mentors visit teams and provide feedback)

5:30PM Team Check-in #2
One member of each team provides an update
(6-7:30pm Mentors visit teams and provide feedback)

6:00PM Dinner

7:00PM Pitch Workshop (30min)

Rose Pember '16 MS, Faculty-Parson's Design School and Tushar MEng '14, Sr Software Developer-VMTurbo

11:00PM Space Evacuated for Evening

Sunday February 9

9:00AM Breakfast

10:00AM Hacking Stops- Demos Start

Teams pitch to judges in one of several conference rooms

12:00PM Lunch & Finalists are Announced

Return to Zuckerman Research Center
1:00PM Final Demos ~10 teams

3:00PM Winners Announced

"To achieve great things, two things are needed; a plan and not quite enough time."

jane Doeso | TITLE

The Final Countdown!

Time left for the event days hours minutes seconds

The countdown doesn't work if the event start date is set to TBD

RULES & GUIDELINES

Ideal team size is 5, a minimum of 4 members and a maximum of 6 members is enforced.
All participants must be registered in advance in order to participate.
Sunday Demos- 4 minutes per team for presentation/demo, and 4 minutes Q&A from the Judges
*Please note that lodging/accommodations, building closes at 11pm each night. No overnights permitted.

CHALLENGES

Details found here

Teams may work on any project of their choice, or may choose from one of the challenges proposed by our partners. Any project is eligible for prize money. $4,000 in cash awarded to winning teams. Must be present on Sunday to win. Bonus prize money for teams that tackle coronavirus.

2020 Video Recap!

RESOURCES

The following resources are to help you. If doing a data project- you are strongly advised to identify your data set in advance. Once registered, participants will be given access to a curated list of resources (data, software, cloud services). The following mentors are on site throughout the weekend to assist teams.

Mentors

Weill Cornell Medicine

Alex Sigaras MS, Research Associate in Computational Biomedicine
Vanessa Aguiar-Pulido PhD, Instructor-Neuroscience, Center for Neurogenetics
Hiranmayi Ravichandran, Mass Cytometry Specialist, Englander Institute for Precision Medicine
Melissa Davis PhD, Prof of Cell & Developmental Biology, Scientific Director-International Center for the Study of Breast Cancer Subtypes
Duane Hassane PhD, Prof of Computational Biomedicine in Medicine, Director-Leukemia Genomics, Englander Institute for Precision Medicine

Cora Sternberg MD, FACP, Clinical Director-Englander Institute for Precision Medicine, Professor of Medicine-Hermatology/Oncology

Chun-Cheng Chen, Prof of Clinical Surgery

Andrea Sboner PhD, Director of Informatics & Computational Biology, Englander Institute for Precision Medicine

Anais Rameau, Asst Professor, Dept of Otolaryngology

Hassen Dhrif, Research Associate, Dalio Institute of Cardiovascular Imaging

Allegra Keeler, CTSC Research Assistant

Anthony Yuen MD, Professor- Emergency Medicine

Carolina Leite PhD - Hospital for Special Surgery Chemical Engineer

Cornell University

Dan Adler, People-Aware Computing Lab, Tanzeem Choudhury Lab at Cornell
Bella Mehta, Internal Medicine/Rheumatologist, Hospital for Special Surgery

Cornell Tech

Niti Parikh, Creative Lead, MakerLAB

Alexander Adams FRSA, PhD, Computing & Information Science

Michael Sobolev, PhD, Post Doc Fellow

Memorial Sloan Kettering Cancer Center

Joseph Sirintrapun MD, Director of Pathology
Rachna Malani MD, Neuro-Oncologist

Kamal Menghrajani MD Oncology / Hematology

Eugenia Kim, Health Informatics

Jonathan Farag , Health Informatics Data Scientist
Craig Perkins, Health Informatics Bioinformatics Software Engineer III

Mentors

Johnson & Johnson

Tim Willittes, ITLDP Analyst, Supply Chain
Carolyn Chu '12, IT Manager -Medical Devices Data & Analytics
Noah Nethery, Software Engineer
Julia Joseph '17, Business Tech Analyst- Ethicon
Nishitha Kambhaladinne, Data Science Analyst
Kyle Fenske '19, Supply Chain Engineer
Sofia Nieves '19, Enterprise Architect- ITDLP
Izabela Serowik, Anlyst - ITLDP
Lona Vincent, Design Team, Business
Sam Tung '13, Sr Software Engineer

Philemon Padonou, Supply Chain API Strategy Lead
Khalil Brown, Sr Analyst-Digital Health Innovation
Jason Lobo, Sr Manager-Intelligent Automation

IBM

John Walicki -CTO, Developer Advocate, IoT/Edge/AI

Ananya Poddar-Data Scientist IBM Research/AI & Healthcare

Remko de Knikker-Developer Advocate
Omid Meh- Data Scientist, Developer Advocate
Madison Hansen- Data Scientist-IBM Garage
Foad Khoshouei-Data Scientist, IBM Garage
Luke Schantz-Developer Advocate

Jyoti Chawla- CTO
Michael Ricci , Managing Director

Chris Umeki '19, Watson Developer

Microsoft

Daniel Kim, Cloud Solutions Architect, US Healthcare Team
Adam Reed, Account Executive

Kriti Shah MBA ‘19 - Microsoft Strategy & Prod Mgmt

Additional Mentors

Dr Syra Madad DHSc, MS, MCP, Sr Director-Systems-wide Special Pathogens Program at NYC Health + Hospitals

Alex Miropolsky, Product Manager & Strategist, Lumedic

Gregory Strubel, Sr Software Developer, Zimmer Biomet

Antoine Bautin, Software Developer, Zimmer Biomet

JooChan Shin, Researcher, Columbia University

Weigang Qiu PhD, Professor Bioinformatics, Hunter College
Agha Khan, Founder, AI & Blockchain Accelerator

Neel Madhukar, CEO/Co-Founder, OneThree Biotech
Coryandar Gilvary, Chief Data Scientist, OneThree Biotech

Brad Pryde, COO, OneThree Biotech

Dennis Gonzalez, Program Manager, Alta Strategy Labs
Erik Froede, Product Manager, Epion Health

On Sight Mentors

Mentors

Dan Cane, CEO & Co-Founder, Modernizing Medicine

Aaron Richter, Data Scientist, Modernizing Medicine

Kui Tang MS Data Scientist, NYP Hospital
Matthew Oberhardt PhD Biomedical Engineer- NYP-Hospital Program Director for Research Science
Joseph Sirintrapun MD, MSKCC Director of Pathology Informatics
Syed Saad Mahmood MD, MPH Cardiology Fellow- NYP Cornell
Marie Normile, Program Coordinator WCM, Englander Institute for Precision Medicine
Carolina Leite PhD, Research Consultant -Hospital for Special Surgery
Lee von Kraus BA Bio & CS, PhD Neuroscience, Cofounder and Chief Scientist rOcean
Anais Rameau MD, MPhil, Entrepreneurship Professor WCM
Hareesh Chandrupatla MS Bioinformatics, CEO Anjin Analytics
Philip Chang MD Asst Professor of Surgery Weill Cornell Medicine
Abdul Tariq, Program Director for Research Scientist-Value Institute at NYP
Ryan DeCosmo, Big Data Engineer, NYP Hospital
James Arnemann Program Director of Research Science, NYP Hospital
Sam Dix '13 Product & Venture Strategy- Frog Design

Alexandros Sigaras MS, Sr Research Assoc. Computational Biomed- Weill Cornell
Ryan DeCosmo- NY Presbyterian Hospital Big Data Scientist
David Vawdrey PhD- Value Institute at NYP VP
My Linh Nguyen-Novotny -Weill Cornell CTSC Asst Director
Connor Dowling -BioVenture eLab Chief Operating Officer
Agha Khan '99, KPMG
Milan Gunasekera MEng, Founder, MyophonX, Inc.
Richard Chen MD, PhD, Surgeon- NY Presbyterian Queens Hospital
Stefanie Mazlish MBA, CEO, The Solution Lab
Birra Taha MD, Weill Cornell

Tushar MEng '14-VM Turbo Data Scientist
Rose Pember '15 MS -Parsons Faculty

Emily Kuo MD- Mt Sinai Preventative Medicine Fellow

Mengmei Ye PhD-Rutgers University, Grad Research & TA Computer Engineering

Dennis Gonzalez MS Managing Director, Alta Strategy Labs
Anusha Jain '17, Technology Advisory Consultant at EY

JUDGES

Jeff Mathers

Sr Director, Software Engineering & Emerging

Tech, Johnson & Johnson

Niti Parikh RITSD, MS Archictecture

Creative Lead, Maker LAB

Cornell Tech

Julianne Imperato-McGinley MD

Principal Investigator, Program Director, Assoc. Dean Translational Research & Education, Weill Cornell

Frances Barany PhD

Professor of Microbiology and Immunology

Weill Cornell Medicine

Michele Fuortes MD, PhD

Professor Cell & Developmental Biology

Weill Cornell Medicine

Olivier Elemento PhD

Director of Englander Institute for Precision Medicine. Prof of Computational Genomics

JUDGING CRITERIA

Product/Service

Highly developed UX/UI, market ready, cool design/aesthetics, high usability

Novelty

Innovative and novel solution for the addressed market, similar solutions do not exist

Scale of Impact

Uniquely serves the market addressed, far reaching impact

Analysis

High technical strength, complexity, predictive outcomes and impact of derived results and innovation

#Hack4health

Address

Our meeting spot for the weekend is Weill Cornell Medicine

Only pre-registered attendees admitted through security.