Mo He
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Mo He Email & Phone Number

Algorithm Engineer at Alibaba Group
Location: Ithaca, New York, United States 9 work roles 2 schools
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Current company
Role
Algorithm Engineer
Location
Ithaca, New York, United States

Who is Mo He? Overview

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Quick answer

Mo He is listed as Algorithm Engineer at Alibaba Group, based in Ithaca, New York, United States. AeroLeads shows a matched LinkedIn profile for Mo He.

Mo He previously worked as Deep Learning at Cornell University and Graduate Student at Cornell University. Mo He holds Master Of Engineering - Meng, Electrical And Computer Engineering, 3.77 from Cornell University.

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Email format at Alibaba Group

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Alibaba Group

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Profile bio

About Mo He

- Cornell University 19' Dec ECE graduate student. - Currently working at Alibaba Cloud, Alibaba Group. - Proficient in Machine Learning and Data Mining of smart public transportation set-ups and upgrades empowered by Alibaba Cloud, targeting at fields including mainstream airlines, smart-bus, transport pivots, etc. in China.

Listed skills include Physics, Neural Networks, Scikit Learn, Linux, and 22 others.

Current workplace

Mo He's current company

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Alibaba Group
Alibaba Group
Algorithm Engineer
Ithaca, NY, US
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9 roles

Mo He work experience

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Algorithm Engineer

Current

Hangzhou, Zhejiang, China

Machine Learning and Computer Vision in smart public transportation set-ups & upgrades with Alibaba Cloud, including mainstream airlines, bus, transport pivots, etc. in China.

Mar 2019 - Present

Deep Learning

Cornell University

Ithaca, New York Area

Deep learning in Financial Engineering Forecasting | Cornell University, USA | MEng Project Advisor: Prof. Hsiao-Dong Chiang, Department of Engineering, Cornell UniversityContributed to utilizing various machine learning based models and optimization algorithms with the purpose of reaching maximum profits;Responsible for constructing Python LSTM model and MATLAB ANN model implementing Tier-1 search according to TRUST-TECH;Compared predictive performance of various local solver… Show more Deep learning in Financial Engineering Forecasting | Cornell University, USA | MEng Project Advisor: Prof. Hsiao-Dong Chiang, Department of Engineering, Cornell UniversityContributed to utilizing various machine learning based models and optimization algorithms with the purpose of reaching maximum profits;Responsible for constructing Python LSTM model and MATLAB ANN model implementing Tier-1 search according to TRUST-TECH;Compared predictive performance of various local solver and optimizers respectively and composed comprehensive degree project report. Show less

Sep 2017 - Mar 2019

Graduate Student

Cornell University

Ithaca, New York Area

Aug 2017 - Mar 2019

Computer Vision

Cornell University

Ithaca, New York Area

Automatic road extraction based on LiDAR dataset | Cornell University, USA | ECE 5470Advisor: Prof. Anthony Reeves, Department of Engineering, Cornell UniversityDeveloped LiDAR data-preprocessing and documentation steps in ArcGIS, generating intensity & depth images;Marked Ground Truth of actual roads in VisionX annotation;Divided train and test data, implementing proposed algorithms including morphological filtering and presenting the validation result.

Oct 2017 - Dec 2017

Machine Learning

Cornell University

Ithaca, New York Area

TADPOLE challenge: Alzheimer Disease Prediction | Cornell University, USA | ECE 5970 Advisor: Prof. Mert Sabuncu, Department of Engineering, Cornell UniversityProduced decent predictive result for baseline model e.g. 83 % accuracy for ADAS13, MMSE, etc. prediction, and proposed multi-step RNN model, e.g. 85 % predictive accuracy against TADPOLE (a.k.a. The Alzheimer's Disease Prediction of Longitudinal Evolution);Contributed to proposed model improving, results… Show more TADPOLE challenge: Alzheimer Disease Prediction | Cornell University, USA | ECE 5970 Advisor: Prof. Mert Sabuncu, Department of Engineering, Cornell UniversityProduced decent predictive result for baseline model e.g. 83 % accuracy for ADAS13, MMSE, etc. prediction, and proposed multi-step RNN model, e.g. 85 % predictive accuracy against TADPOLE (a.k.a. The Alzheimer's Disease Prediction of Longitudinal Evolution);Contributed to proposed model improving, results analysis considering baseline method and proposed model, Python coding that aims at proposed model testing, and project presentation;Obtained a grade of 95 for final report. Show less

Oct 2017 - Dec 2017

Deep Learning Lab Research Assistant

Beijing City, China

Face Recognition | Tsinghua University, China | Intern Jun 2018 - Aug 2018Advisor: Dr. Changsong Liu, Associate Professor of EE department, Tsinghua UniversityContributed to cultivate appropriate image subsampling and resizing methodology in preprocessing for celebA and fer2013 dataset;Constructed Augmented-CNN model for multi-label prediction on gender, facial expression, etc.;Adjusted Neural Network structure and applied… Show more Face Recognition | Tsinghua University, China | Intern Jun 2018 - Aug 2018Advisor: Dr. Changsong Liu, Associate Professor of EE department, Tsinghua UniversityContributed to cultivate appropriate image subsampling and resizing methodology in preprocessing for celebA and fer2013 dataset;Constructed Augmented-CNN model for multi-label prediction on gender, facial expression, etc.;Adjusted Neural Network structure and applied training techniques to generate over 97.4% accuracy on gender recognition. Show less

May 2018 - Aug 2018

Part-Time Software Engineer

Xindajiean Information Technology Co., Ltd

Zhengzhou, Henan, China

Assisted in building and optimizing the company's customer service website and database to deal with large traffic flow;Upgraded the original database via development in MYSQL and developed an algorithm which could optimize the database visit, handle the mem cache and achieve a better performance;

Sep 2015 - Jun 2016

Summer Research Intern

University Of Arizona

Tucson, Arizona Area

Advisor: Professor Sumit Mazumdar, Professor and Dean of Physics Department, University of ArizonaDeveloped a program in Mathematica (Linux ver.) based on semi-empirical Hȕckel Theory of molecular orbitals and quantum physics in modeling organic linear chains and did extensive linear algebra with the program;Obtained a grade of A+ (97-100) for intern performance.

Jun 2015 - Aug 2015
2 education records

Mo He education

Master Of Engineering - Meng, Electrical And Computer Engineering, 3.77

Course enrolled: Computer Vision / Machine Learning in Biomedical Application / Database Management / OO Programming and Data Structure /.

Bachelor Of Science - Bs, Physics, 89.5/100

Activities and Societies: Poling Elite Class (awarded to 25 students out of 143 students) 14' Chorus Competition | Pianist and choral.

FAQ

Frequently asked questions about Mo He

Quick answers generated from the profile data available on this page.

What company does Mo He work for?

Mo He works for Alibaba Group.

What is Mo He's role at Alibaba Group?

Mo He is listed as Algorithm Engineer at Alibaba Group.

Where is Mo He based?

Mo He is based in Ithaca, New York, United States while working with Alibaba Group.

What companies has Mo He worked for?

Mo He has worked for Alibaba Group, Cornell University, Tsinghua University, Xindajiean Information Technology Co., Ltd, and University Of Arizona.

How can I contact Mo He?

You can use AeroLeads to view verified contact signals for Mo He at Alibaba Group, including work email, phone, and LinkedIn data when available.

What schools did Mo He attend?

Mo He holds Master Of Engineering - Meng, Electrical And Computer Engineering, 3.77 from Cornell University.

What skills is Mo He known for?

Mo He is listed with skills including Physics, Neural Networks, Scikit Learn, Linux, Algorithms, Object Oriented Programming, Matlab, and Keras.

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