<commit_before><div class='profile'>
<img src='assets/singhnalini.jpg' height='150px'>
<div class='subcaption'>
<b>PhD Student, MIT CSAIL</b>
<br>
32 Vassar St, 32D-474
<br>
Cambridge, MA, 02139 
</div>
</div>

<div class='column'>
&nbsp;
</div>

<div class='main-info' markdown="1">
## About
I'm a PhD student at the [Harvard-MIT Division of Health Sciences and Technology](https://hst.mit.edu/academics/memp), working in the [Medical Vision Group](https://groups.csail.mit.edu/vision/medical-vision/) with [<NAME>](http://people.csail.mit.edu/polina/). I'm interested in using signal processing and machine learning to better understand and act upon medical data. 

Previously, I did my undergrad in the [Electrical Engineering and Computer Science](http://www.eecs.mit.edu/) department at MIT. I've worked at [Google](http://www.google.com), [IBM Research](http://www.research.ibm.com), and [Draper](http://www.draper.com/).

I also co-founded [Blueprint](https://blueprint.hackmit.org) and served as the president of [MIT HKN](https://hkn.mit.edu).

## Selected Projects

<details>
<summary>
Predicting Alarm Relevance in Neonatal Intensive Care Units
</summary>
<div class='fulltext' markdown="1">
Classifiers that use physiologic waveform data to predict bedside alarm relevance in neonatal intensive care units, suggesting a strategy for silencing unnecessary alarms. 
<br>
_Paper to Appear._
</div>
</details>

<details>
<summary>
Predicting Adverse Drug Reactions with Molecular Docking
</summary>
<div class='fulltext' markdown="1">
Models that use only structural drug information to predict Adverse Drug Reactions (ADRs), enabling ADR identification before experimental testing in patients. 
<br>
_Paper to Appear._
</div>
</details>

<details>
<summary>

Analyzing Acute Kidney Injury in Septic Intensive Care Patients
</summary>
<div class='fulltext' markdown="1">
A retrospective cohort study to analyze the appropriateness of mean arterial blood pressure as a predictor of acute kidney injury in septic patients.
<br>
[Code](https://github.com/nalinimsingh/HST.953-AKI-Prediction){:target="_blank"}
</div>
</details>

<details>
<summary>
Designing Biomimetic Prosthesis Controllers for Walking
</summary>
<div class='fulltext' markdown="1">
A state space biomimetic controller for prosthesis-aided walking, yielding modeled gait parameters similar to biological values.
<br>
**2nd Place Oral Presentation, EECSCon 2016**.
<br>
[Presentation](docs/prosthesis.pdf){:target="_blank"}
</div>
</details>

<details markdown="1">
<summary>
Localizing Parafoils in GPS-Denied Environments
</summary>
<div class='fulltext' markdown="1">
Parafoil localization algorithms requiring only monocular camera imagery and inertial sensor data, enabling supply delivery to troops in GPS-denied environments.
<br>
[Paper](https://arc.aiaa.org/doi/abs/10.2514/6.2017-3723){:target="_blank"}
</div>
</details>
</div>
<commit_msg>Fix link<commit_after><div class='profile'>
<img src='assets/singhnalini.jpg' height='150px'>
<div class='subcaption'>
<b>PhD Student, MIT CSAIL</b>
<br>
32 Vassar St, 32D-474
<br>
Cambridge, MA, 02139 
</div>
</div>

<div class='column'>
&nbsp;
</div>

<div class='main-info' markdown="1">
## About
I'm a PhD student at the [Harvard-MIT Division of Health Sciences and Technology](https://hst.mit.edu/academics/memp), working in the [Medical Vision Group](https://groups.csail.mit.edu/vision/medical-vision/) with [<NAME>](http://people.csail.mit.edu/polina/). I'm interested in using signal processing and machine learning to better understand and act upon medical data. 

Previously, I did my undergrad in the [Electrical Engineering and Computer Science](http://www.eecs.mit.edu/) department at MIT. I've worked at [Google](https://www.google.com/about/), [IBM Research](http://www.research.ibm.com), and [Draper](http://www.draper.com/).

I also co-founded [Blueprint](https://blueprint.hackmit.org) and served as the president of [MIT HKN](https://hkn.mit.edu).

## Selected Projects

<details>
<summary>
Predicting Alarm Relevance in Neonatal Intensive Care Units
</summary>
<div class='fulltext' markdown="1">
Classifiers that use physiologic waveform data to predict bedside alarm relevance in neonatal intensive care units, suggesting a strategy for silencing unnecessary alarms. 
<br>
_Paper to Appear._
</div>
</details>

<details>
<summary>
Predicting Adverse Drug Reactions with Molecular Docking
</summary>
<div class='fulltext' markdown="1">
Models that use only structural drug information to predict Adverse Drug Reactions (ADRs), enabling ADR identification before experimental testing in patients. 
<br>
_Paper to Appear._
</div>
</details>

<details>
<summary>

Analyzing Acute Kidney Injury in Septic Intensive Care Patients
</summary>
<div class='fulltext' markdown="1">
A retrospective cohort study to analyze the appropriateness of mean arterial blood pressure as a predictor of acute kidney injury in septic patients.
<br>
[Code](https://github.com/nalinimsingh/HST.953-AKI-Prediction){:target="_blank"}
</div>
</details>

<details>
<summary>
Designing Biomimetic Prosthesis Controllers for Walking
</summary>
<div class='fulltext' markdown="1">
A state space biomimetic controller for prosthesis-aided walking, yielding modeled gait parameters similar to biological values.
<br>
**2nd Place Oral Presentation, EECSCon 2016**.
<br>
[Presentation](docs/prosthesis.pdf){:target="_blank"}
</div>
</details>

<details markdown="1">
<summary>
Localizing Parafoils in GPS-Denied Environments
</summary>
<div class='fulltext' markdown="1">
Parafoil localization algorithms requiring only monocular camera imagery and inertial sensor data, enabling supply delivery to troops in GPS-denied environments.
<br>
[Paper](https://arc.aiaa.org/doi/abs/10.2514/6.2017-3723){:target="_blank"}
</div>
</details>
</div>

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