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Diary of an intern Publi 1

Diary of an intern Publi 2

What we’ve learned

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Sylvana Posso Hernández

“I enjoy life and am grateful for every experience it gives me”

Universidad Icesi

Colombia

Andrés Raúl Hernández 

“We must be able to give the best of ourselves to create a better world”

Instituto de Ciencia Animal (ICA)

Cuba

Zhimei Song

“I like to travel around the world, swim, and play board games”

University of Copenhagen

Denmark

Rosimara Barboza

“Passionate about science and humility, always looking for my best version“

State University of Northern Rio de Janeiro

Brazil

Cristián Zambrano

We must leave the world a little better than we found it

Instituto Nacional de Investigaciones Agropecuarias (INIAP)

Ecuador

David Arango

“Enjoy every moment”

 

Javeriana University | Cali

Colombia

Andrés Raúl Hernández

“We must be able to give the best of ourselves to create a better world”

Instituto de Ciencia Animal (ICA)

Cuba

Jacobo Arana

Forages Leader

Apply gene editing technology to rice for improving productivity and C storage through deep rooting ability and enhanced photosynthetic efficiency.

Colombia

  • Pontificia Universidad Javeriana Cali
  • Universidad Icesi

Nigeria

  • University of Ilorin

Brazil

  • São Paulo University
  • State University of Northern Rio de Janeiro 

Cuba

  • Instituto de Ciencia Animal (ICA)

Uruguay

  • Universidad De La República

Ecuador

  • Instituto Nacional de Investigaciones Agropecuarias (INIAP)

Morocco

  • Université Félix Houphouet-Boigny and Mohammed VI Polytechnic University

Argentina

  • Universidad Nacional del Litoral

Denmark

  • University of Copenhagen

David Arango

Statistician

Javeriana University

Cali, Colombia

David Arango is a professor at the Pontificia Universidad Javeriana Cali, where he teaches various courses in the domain of data science and its applications across different fields. Previously, David, has contributed to the scientific community as an associate researcher at CIAT for over six years. These projects revolved around leveraging data-driven approaches to assess the impact of climate change on crops and pests. His involvement in these projects encompassed the utilization of various modeling approaches, demonstrating his expertise in translating complex datasets into actionable insights. In line with his passion for continuous learning, David is currently pursuing his doctoral candidate in statistics at the National University of Colombia at Medellín campus. His research thesis is focused on developing methodologies for sub-seasonal climate forecasting by incorporating statistical techniques to model spatiotemporal phenomena. Through his multifaceted contributions, he continues to enrich the fields of education, research, and innovation. 

Demo #1

The Image hotspot module can be used to provide more info about a specific element in the Image in a Professional way. And it really makes a nice impact on users.

Macbook (2019)

MacBook Pro elevates the notebook to a whole new level of performance and portability.

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Alarm Clock

People have been using alarms of sorts to wake up well before clocks were even a thing.

Grass in Pot

Poaceae or Gramineae is a large and nearly ubiquitous family of monocotyledonous flowering plants known as grass.

V

Photo frame

Photo frames can be used to get closer to your loved ones.

Comfort Chair

A good chair provides proper lumbar and pelvic support which results in your back muscles being less stressed

David Arango

Statistician

Javeriana University

Cali, Colombia

David Arango is a professor at the Pontificia Universidad Javeriana Cali, where he teaches various courses in the domain of data science and its applications across different fields. Previously, David, has contributed to the scientific community as an associate researcher at CIAT for over six years. These projects revolved around leveraging data-driven approaches to assess the impact of climate change on crops and pests. His involvement in these projects encompassed the utilization of various modeling approaches, demonstrating his expertise in translating complex datasets into actionable insights. In line with his passion for continuous learning, David is currently pursuing his doctoral candidate in statistics at the National University of Colombia at Medellín campus. His research thesis is focused on developing methodologies for sub-seasonal climate forecasting by incorporating statistical techniques to model spatiotemporal phenomena. Through his multifaceted contributions, he continues to enrich the fields of education, research, and innovation. 

Demo #5

Coen Mcdowell

Co-Founder

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Woodrow Mays

Sales Manager

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Kalum Payne

Sales Manager

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Alyssa Lopez

Accountant

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Pierce Benjamin

Accountant

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Their Institutions

Colombia

  • Pontificia Universidad Javeriana Cali
  • Universidad Icesi

Nigeria

  • University of Ilorin

Brazil

  • São Paulo University
  • State University of Northern Rio de Janeiro 

Cuba

  • Instituto de Ciencia Animal (ICA)

Uruguay

  • Universidad De La República

Ecuador

  • Instituto Nacional de Investigaciones Agropecuarias (INIAP)

Morocco

  • Université Félix Houphouet-Boigny and Mohammed VI Polytechnic University

Argentina

  • Universidad Nacional del Litoral

Denmark

  • University of Copenhagen

The Alliance of Bioversity International and CIAT is part of CGIAR, a global research partnership for a food-secure future.

Contact

Alliance of Bioversity International and CIAT

Latin American Hub

Palmira – Colombia

Address: Km 17 Recta Cali-Palmira

Phone: (+57) 6024450000

David Arango

Data Scientist

Pontifical Xavierian University | Colombia

Colombia

David Arango is a professor at the Pontificia Universidad Javeriana Cali, where he teaches various courses in the domain of data science and its applications across different fields. Previously, David, has contributed to the scientific community as an associate researcher at CIAT for over six years. These projects revolved around leveraging data-driven approaches to assess the impact of climate change on crops and pests. His involvement in these projects encompassed the utilization of various modeling approaches, demonstrating his expertise in translating complex datasets into actionable insights. In line with his passion for continuous learning, David is currently pursuing his doctoral candidate in statistics at the National University of Colombia at Medellín campus. His research thesis is focused on developing methodologies for sub-seasonal climate forecasting by incorporating statistical techniques to model spatiotemporal phenomena. Through his multifaceted contributions, he continues to enrich the fields of education, research, and innovation.